Uncategorized Power bi Jan 9, 2025 mfh.officials@gmail.com 0 Comment power bi 1 / 20 Which of the following is used to schedule automatic data refresh in Power BI? Power BI Desktop Power Automate Power BI Gateway Power Query 2 / 20 Which cloud service does Power BI primarily use? Azure Google Cloud AWS IBM Cloud 3 / 20 What does the CALCULATE function do in DAX? Defines a new measure Creates a new column Modifies the context in which data is evaluated Calculates the total size of a dataset 4 / 20 What are "Dataflows" in Power BI? A set of reports in Power BI Desktop A live connection to a SQL database A type of visualization A way to define reusable ETL logic 5 / 20 What is the role of Power BI Service? To perform data modeling To clean and transform data To share and collaborate on reports and dashboards To design custom visuals 6 / 20 Which function in DAX is used to calculate year-to-date values? RUNNINGTOTAL TOTALYTD AGGREGATE CUMULATIVE 7 / 20 Which tool can be used to analyze and optimize DAX queries? Excel SQL Profiler DAX Studio Power Query Editor 8 / 20 What is Power BI primarily used for? Business analytics and data visualization Database management Software testing Website development 9 / 20 Which data connectivity mode allows real-time interaction with the underlying data source? Import Composite Cached DirectQuery 10 / 20 What is DAX in Power BI? A data cleaning tool A type of visualization A cloud-based service A language for calculations and queries 11 / 20 What is the purpose of "Bookmarks" in Power BI? To save data sources To capture and restore specific views of a report To add page navigation To schedule refreshes 12 / 20 Which component is used to develop reports in Power BI? Power BI Gateway Power BI Service Power BI Desktop Power BI Mobile 13 / 20 What is a workspace in Power BI? A set of pre-built dashboards A database connection string A cloud environment to collaborate on reports A DAX formula editor 14 / 20 Which relationship cardinality is NOT supported in Power BI? Many-to-One Many-to-Many Many-to-Zero One-to-One 15 / 20 What is the purpose of a star schema in Power BI? To apply row-level security To simplify complex relationships for better performance To create detailed reports To integrate multiple cloud services 16 / 20 What is a measure in Power BI? A calculated value used in visualizations A static column in the dataset A filter applied to visuals A type of data source 17 / 20 Which file extension does Power BI Desktop use to save reports? .Xlsx .pbix .pbi .csv 18 / 20 What is the purpose of Power Query in Power BI? To create dashboards To visualize data To transform and clean data To manage user permissions 19 / 20 Which visualization is best for analyzing trends over time? Line Chart Pie Chart Scatter Plot Funnel Chart 20 / 20 What is the purpose of row-level security (RLS) in Power BI? To apply filters to dashboards To schedule data refreshes To restrict data access based on user roles To optimize report performance Your score isThe average score is 62% 0% Restart quiz
Uncategorized Snowflake Screening Test Jan 9, 2025 mfh.officials@gmail.com 0 Comment Snowflake 1 / 20 What type of database architecture does Snowflake use? Multi-tenant with shared-disk and shared-nothing hybrid A. Monolithic B. C. D. Shared-memory Distributed-memory with no shared resources 2 / 20 What is Snowpipe? A security feature for encryption A data ingestion service for continuous loading of data A logging service for data pipelines A query optimization feature 3 / 20 Which layer of Snowflake architecture handles query execution? Data Pipeline Layer Storage Layer Virtual Warehouse Layer Cloud Services Layer 4 / 20 Which command is used to clone a table in Snowflake? COPY TABLE CLONE TABLE CREATE TABLE CLONE ALTER TABLE CLONE 5 / 20 What is a Snowflake Virtual Warehouse? An external data connector A logical compute resource for processing queries A storage location for semi-structured data A physical server in the cloud 6 / 20 Which of the following compliance certifications is held by Snowflake? GDPR ISO 27001 HIPAA All of the above 7 / 20 Which caching mechanism improves Snowflake performance? Result cache Metadata cache Query cache Storage cache 8 / 20 What is the purpose of multi-cluster warehouses in Snowflake? To encrypt data across multiple clusters To handle variable query workloads To back up data automatically To store large datasets 9 / 20 Which feature in Snowflake enables secure data sharing across accounts? Virtual Private Cloud Snowpipe Sharing Data Pipeline Secure Data Sharing 10 / 20 How does Snowflake handle concurrency? By isolating workloads using multiple virtual warehouses By caching queries at the storage layer By limiting users to one query at a time By creating physical partitions 11 / 20 What is a role in Snowflake? A virtual machine instance A query execution engine A data storage layer A set of permissions assigned to users 12 / 20 Which cloud providers support Snowflake? AWS and IBM Cloud only AWS, Azure, and Google Cloud Azure and Google Cloud only AWS only 13 / 20 How does Snowflake ensure data security? By restricting data sharing Through on-premises encryption only By disabling data export functionality By using end-to-end encryption and role-based access control 14 / 20 What is the default retention period for Time Travel in Snowflake? 1 day 90 days 30 days 7 days 15 / 20 What file formats can Snowflake natively load and process? Only CSV and JSON CSV, JSON, Parquet, ORC, and Avro XML and TXT files only HTML files only 16 / 20 What type of data can Snowflake store? Unstructured data only Metadata only Structured data only Semi-structured and structured data 17 / 20 Which of the following statements is true about Snowflake’s storage? It requires manual configuration for scaling. It cannot store semi-structured data. It uses SSD drives for storage. It is auto-scalable and decoupled from compute. 18 / 20 What is the role of the query profiler in Snowflake? To identify bottlenecks in query execution To schedule query execution times To back up queries To load external data sources 19 / 20 What is Time Travel in Snowflake? A backup and recovery mechanism A way to move data between warehouses The ability to query historical data for a defined retention period A feature to migrate data between clouds 20 / 20 What does "zero-copy cloning" in Snowflake mean? Cloning a database with limited compute resources Using temporary tables for queries Using external storage for cloned data Creating clones without duplicating the underlying data Your score isThe average score is 10% 0% Restart quiz
Uncategorized Cloud Screen Test Jan 7, 2025 mfh.officials@gmail.com 0 Comment Cloud Computing(AWS, Azure, GCP) 1 / 20 Which AWS service allows you to run serverless applications? EC2 RDS Elastic Beanstalk Lambda 2 / 20 Which AWS database is a fully managed relational database service? ElastiCache RDS Redshift DynamoDB 3 / 20 What does AWS Trusted Advisor provide? Security alerts and recommendations Multi-factor authentication Application performance monitoring Automated deployment 4 / 20 What is the primary use of Google Cloud Run? Hosting serverless containers Real-time data analytics Large-scale data warehousing Virtual machine orchestration 5 / 20 Which AWS service is a managed NoSQL database? ElasticSearch Aurora DynamoDB RDS 6 / 20 What is the purpose of GCP Stackdriver? Data encryption Monitoring and logging Managing APIs Scaling virtual machines 7 / 20 Which Azure database service is fully managed and supports multiple APIs? Azure Database for MySQL Azure Cosmos DB Azure Data Factory Azure SQL Database 8 / 20 Which AWS service is used for content delivery? API Gateway S3 Route 53 CloudFront 9 / 20 What is the default consistency model for Amazon DynamoDB? Sequential consistency Eventual consistency Strong consistency Causal consistency 10 / 20 What is the main purpose of Amazon S3? Content delivery network Database management Object storage Virtual machine hosting 11 / 20 What is the purpose of Amazon EC2 Auto Scaling? Monitors server performance Manages serverless applications Manages backup and recovery Automatically adjusts the number of EC2 instances 12 / 20 What type of storage does Amazon EBS provide? File storage Object storage Archive storage Block storage 13 / 20 Which AWS service provides DNS and domain registration? CloudFront Route 53 Elastic Load Balancer API Gateway 14 / 20 What is Azure DevOps used for? Continuous integration and delivery (CI/CD) Database management Real-time analytics Security monitoring 15 / 20 What does AWS IAM stand for? AWS Internal Application Management Amazon Identity Access Management Amazon Infrastructure Access Management AWS Information Access Model 16 / 20 Which GCP service is a managed Kubernetes offering? Compute Engine Kubernetes Engine Cloud Run App Engine 17 / 20 Which service is used for monitoring and managing AWS resources? Systems Manager CloudWatch CloudFormation CloudTrail 18 / 20 What does the "SLA" in AWS SLAs stand for? Secure Load Authorization Service-Level Agreement Server-Level Authorization Standardized License Agreement 19 / 20 What is the purpose of Google Cloud CDN? Content delivery network for low-latency web services Security threat detection Backup and disaster recovery Virtual network management 20 / 20 What is an Availability Zone in AWS? A network zone for edge computing A geographic location A physical data center An isolated location within a region Your score isThe average score is 40% 0% Restart quiz
Uncategorized GenAI Screen Test Jan 7, 2025 mfh.officials@gmail.com 0 Comment Generative AI (Gen AI) Screening Test 1 / 20 What is a common use case for Variational Autoencoders (VAEs)? Predictive modeling Decision tree optimization Dimensionality reduction and generative tasks Classification tasks 2 / 20 What does "latent space" refer to in Generative AI? A reduced-dimensional representation of input data A memory buffer for AI systems A storage area for pre-trained models A repository for training data 3 / 20 Which technique combines supervised and unsupervised learning for training Generative AI? Reinforcement learning Zero-shot learning Semi-supervised learning Adversarial training 4 / 20 What is the role of attention mechanisms in transformer-based models? To simplify architecture design To increase training speed To focus on relevant parts of the input sequence To reduce the model size 5 / 20 What is a key component of a Generative Adversarial Network (GAN)? A discriminator and a generator A feature extractor and classifier A trainer and a learner An encoder and a decoder 6 / 20 What is "prompt engineering" in the context of Generative AI? Designing the neural network architecture Optimizing system performance Tuning hyperparameters for training Crafting inputs to guide AI output 7 / 20 Which of the following is a real-world application of Generative AI? Customer segmentation Predictive analytics Image synthesis and text generation Fraud detection 8 / 20 Which of the following technologies powers ChatGPT? Convolutional Networks Transformers Reinforcement Learning Long Short-Term Memory (LSTM) 9 / 20 What is the main role of the "discriminator" in a GAN? To optimize the learning rate To classify real and fake data To reduce noise in the input To generate synthetic data 10 / 20 Which of the following is NOT an example of Generative AI? ChatGPT MidJourney Power BI DALL·E 11 / 20 Which of the following is a major ethical concern with Generative AI? Limited use cases Biased or harmful content generation High computational cost Lack of scalability 12 / 20 What is Generative AI primarily used for? Extracting insights from structured data Data analysis and visualization Creating new content, such as images, text, or music Monitoring system performance 13 / 20 What does "fine-tuning" mean in Generative AI? Adjusting a pre-trained model for specific tasks Simplifying the dataset Increasing the number of layers in a model Training a new model from scratch 14 / 20 What is "zero-shot learning" in Generative AI? Reducing model training time to zero Generating output for unseen tasks without specific training Removing overfitting during training Training models without any labeled data 15 / 20 Which neural network architecture is commonly used in Generative AI? Generative Adversarial Networks (GANs) Recurrent Neural Networks (RNNs) Convolutional Neural Networks (CNNs) Decision Trees 16 / 20 What is the main advantage of pre-trained Generative AI models? They reduce computational resources needed for fine-tuning They eliminate the need for labeled data They require no further training They generalize better to new tasks 17 / 20 Which loss function is commonly used in training GANs? Binary Cross-Entropy Loss Hinge Loss Cross-Entropy Loss Mean Squared Error (MSE) 18 / 20 What is the purpose of "diffusion models" in Generative AI? To generate high-quality images by reversing noise To reduce training time To classify data To optimize hyperparameters 19 / 20 What does the "T" in GPT stand for? Transformer Transfer Training Translation 20 / 20 Which of the following frameworks is widely used for developing Generative AI models? JAX All of the above PyTorch TensorFlow Your score isThe average score is 60% 0% Restart quiz
Uncategorized RPA Screening Test Jan 7, 2025 mfh.officials@gmail.com 0 Comment Robotic Process Automation (RPA) 1 / 20 What does “queue” in RPA typically refer to? A series of tasks for bots to perform A waiting list for human review A storage mechanism for historical data A backup of all processes 2 / 20 Which RPA feature ensures compliance with data privacy regulations? Role-based access control Multi-threading Real-time monitoring Task scheduling 3 / 20 What does the term "cognitive automation" imply? Automating simple, rule-based tasks Using AI to handle unstructured data Manually monitoring bots Creating workflows without coding 4 / 20 What does "bot orchestration" involve in RPA?a) Assigning tasks to bots based on prioritiesb) Designing workflows for botsc) Developing new botsd) Training bots using AI modelsAnswer: a) Assigning tasks to bots based on prioritiesWhat is a "process recorder" in RPA tools? A feature to track errors in bots A tool to record user actions for automation A system for storing automation logs A function for recording bot deployment statistics 5 / 20 Which of the following tasks is an example of RPA in finance? Conducting financial analysis Generating financial reports from structured data Creating investment strategies Providing financial advice to clients 6 / 20 What is the first step in an RPA implementation process? Development of bots Process discovery and assessment Deployment of bots Training end users 7 / 20 Which type of RPA bot works independently without human intervention? Attended bot Autonomous bot Unattended bot Hybrid bot 8 / 20 What does the "Control Room" component of RPA do? Designs automation workflows Monitors and manages deployed bots Creates new bots Manages user interfaces 9 / 20 Which of these is a benefit of implementing RPA? Reduced system complexity Increased productivity and accuracy Elimination of all human jobs Enhanced decision-making abilities 10 / 20 Which RPA tool uses the concept of "queues" for workload management? UiPath Ansible Selenium Kubernetes 11 / 20 What does the term "bot scalability" refer to in RPA? The ability to run bots on mobile devices The ability to deploy bots across multiple processes The speed at which bots can execute tasks The cost-effectiveness of bots 12 / 20 What does "attended automation" mean in RPA? Automation that requires human intervention Automation that operates independently Automation used only during training Automation that works only during business hour 13 / 20 Which of the following processes is NOT suitable for RPA? Rule-based data entry tasks Complex tasks requiring human judgment Invoice processing Data extraction from structured files 14 / 20 Which programming skill is essential to develop RPA bots? Java Python No programming is mandatory C++ 15 / 20 Which of the following RPA tools offers a drag-and-drop interface for automation? UiPath Docker Jenkins Ansible 16 / 20 What is the purpose of an RPA "Orchestrator"? To design workflows To monitor and manage automated processes To train machine learning models To integrate cloud services with bots 17 / 20 Which component of RPA is responsible for executing automation? Orchestrator Robot/Agent Workflow Designer Control Room 18 / 20 What type of tasks is RPA best suited for? High-level strategic tasks Repetitive and rule-based tasks Creative tasks requiring innovation Complex decision-making tasks 19 / 20 Which of the following is NOT an RPA tool? UiPath Blue Prism Automation Anywhere Jenkins 20 / 20 What is Robotic Process Automation (RPA)? Using physical robots to automate processes Automating repetitive tasks using software robots Developing robotic software for industries Writing scripts for robots to perform tasks Your score isThe average score is 32% 0% Restart quiz
Uncategorized IOT Screen Test Jan 7, 2025 mfh.officials@gmail.com 0 Comment Internet of Things (IoT) Screening Test 1 / 20 What does "edge computing" mean in the context of IoT? Storing data at a central cloud location Sending all data to the cloud for analysis Processing data closer to where it is generated Encrypting data at the source 2 / 20 What is a significant challenge in IoT scalability? Inability to connect to cloud platforms Excessive use of wired communication Lack of sufficient data Device interoperability issues 3 / 20 Which of the following technologies is most critical for IoT device communication? Virtual Reality Artificial Intelligence Wireless communication Blockchain 4 / 20 What does "actuator" mean in an IoT context? A device that encrypts data A device that transmits data A device that performs actions based on data A device that collects data 5 / 20 What does LPWAN stand for in IoT communication? Limited Power Wide Access Network Low Protocol Wireless Application Network Long Protocol Wireless Area Network Low-Power Wide Area Network 6 / 20 What is the role of sensors in an IoT system? To manage IoT networks To store data To collect data from the environment To analyze data 7 / 20 Which IoT platform is provided by Amazon? AWS IoT Core a) Google IoT Core IBM Watson IoT Azure IoT Hub 8 / 20 Which of the following is a real-world application of IoT? Smart Homes Cryptocurrency Mining Graphic Design Web Development 9 / 20 What is the primary function of a gateway in an IoT system? To secure IoT networks To store large amounts of data To connect IoT devices to the cloud To analyze data locally 10 / 20 Which IoT standard is used for device identification and management? CoAP IPv6 SNMP LoRaWAN 11 / 20 What is the primary function of a cloud platform in IoT? To generate wireless signals To analyze and store data from IoT devices To ensure physical security of devices To manufacture IoT devices 12 / 20 Which IoT protocol operates over short-range wireless communication? SNMP CoAP Zigbee SMTP 13 / 20 Which IoT concept focuses on self-learning and decision-making without human intervention? Artificial Intelligence of Things (AIoT) Blockchain Technology c) Edge Computing Smart Sensors 14 / 20 Which layer of the IoT architecture is responsible for data collection and processing? Network Layer Application Layer Transport Layer Perception Layer 15 / 20 Which of these is a lightweight IoT data protocol optimized for constrained devices? TCP DNS MQTT HTTP 16 / 20 What is the Internet of Things (IoT)? A new programming language A type of software for managing networks A network of physical objects embedded with sensors and software A method for storing data in the cloud 17 / 20 What is the primary goal of IoT analytics? To design IoT devices To generate actionable insights from IoT data To create machine learning models To connect devices to the network 18 / 20 Which of the following is a security concern in IoT systems? Weak encryption methods Excessive bandwidth usage Device interoperability Lack of cloud storage 19 / 20 What does the term "IoT ecosystem" refer to? A set of IoT protocols A single IoT device A software platform for IoT A collection of IoT devices, platforms, and services working together 20 / 20 Which of the following protocols is commonly used in IoT for communication? DNS FTP MQTT HTTP Your score isThe average score is 58% 0% Restart quiz
Uncategorized Cybersecurity Screening Test Jan 7, 2025 mfh.officials@gmail.com 0 Comment Cybersecurity Screening Test 1 / 20 Which of the following is NOT a common type of malware? Firewall Worm Virus Trojan Horse 2 / 20 What is the function of a DDoS attack? To gain administrative privileges To steal sensitive data To infiltrate systems silently To make a system unavailable by overwhelming it with traffic 3 / 20 What is the function of a Virtual Private Network (VPN)? To encrypt emails To increase internet speed To provide secure remote access To detect malware 4 / 20 What is the primary purpose of a firewall? a) To detect and remove viruses c) To encrypt sensitive data d) To scan for vulnerabilities b) To monitor incoming and outgoing network traffic 5 / 20 Which protocol is commonly used to secure data in transit? HTTP TELNET SSH FTP 6 / 20 What does "phishing" aim to achieve? To monitor network traffic To gain unauthorized access to sensitive information To install malware To overload a server 7 / 20 Which hashing algorithm is considered obsolete due to vulnerabilities? AES SHA-1 MDS SHA-256 8 / 20 What does XSS stand for in cybersecurity? XML Secure Sockets Cross-Site Scripting Extra Secure Socket External System Security 9 / 20 What does SSL stand for? Secure Server Link Secure System Layer Secure Sockets Layer Security System Logic 10 / 20 What is the purpose of multi-factor authentication (MFA)? To encrypt passwords To automate login processes To improve user experience To provide an additional layer of security 11 / 20 What does the CIA triad stand for in cybersecurity? Confidentiality, Information, Accessibility Confidentiality, Integrity, Authentication Cybersecurity, Integrity, Access Confidentiality, Integrity, Availability 12 / 20 What is the primary purpose of penetration testing? To identify vulnerabilities To perform backups To test system functionality To install firewalls 13 / 20 Which encryption method uses the same key for encryption and decryption? Public Key Infrastructure Hashing Asymmetric encryption Symmetric encryption 14 / 20 What does the term "zero-day vulnerability" refer to? A hardware issue A vulnerability exploited the same day it is discovered An outdated software flaw A vulnerability patched immediately 15 / 20 Which of the following is NOT a common method of securing a wireless network? Hiding the SSID Disabling antivirus software Using WPA2 encryption Using a strong password 16 / 20 What does the term "sandboxing" mean in cybersecurity? Encrypting sensitive data Blocking unauthorized websites Deploying security patches Isolating untrusted code for testing 17 / 20 What is the role of a Security Information and Event Management (SIEM) system? To analyze security alerts in real-time To patch software vulnerabilities To perform data encryption To provide antivirus solutions 18 / 20 Which of the following is a social engineering attack? SQL Injection Brute Force DDoS Phishing 19 / 20 Which type of attack involves intercepting and altering communication between two parties? Man-in-the-Middle (MITM) Ransomware Phishing Denial of Service (DoS) 20 / 20 What is the primary purpose of a Digital Certificate? To authenticate identities To store user passwords To encrypt files To monitor network traffic Your score isThe average score is 65% 0% Restart quiz
Uncategorized Blockchain Screen Test Jan 7, 2025 mfh.officials@gmail.com 0 Comment Blockchain Screening Test 1 / 20 What is the role of miners in a blockchain network? To validate and verify transactions To stake cryptocurrency in the network To create new blocks only in private blockchains To create new cryptocurrencies 2 / 20 What is the term for a decentralized application (dApp) built on a blockchain platform? Smart Contract Distributed Ledger Blockchain Application Blockchain Node 3 / 20 Which type of attack involves a malicious actor gaining control of more than 50% of a blockchain's network nodes to manipulate the ledger? Double-spending Attack 51% Attack Sybil Attack Eclipse Attack 4 / 20 What is the role of a "block header" in a blockchain? To store user information To hold the public keys of participants To store the transactions within a block To identify the previous block and provide metadata for the current block 5 / 20 What is the term for a digital representation of assets or value that exists on a blockchain? Coin Token Cryptocurrency Ledger 6 / 20 Which of the following is an example of an enterprise blockchain platform? Bitcoin Litecoin Ethereum Hyperledger Fabric 7 / 20 Which of the following blockchain platforms was created specifically for creating enterprise solutions and is not primarily a cryptocurrency? Ripple Bitcoin Ethereum Hyperledger 8 / 20 What is the primary purpose of a "wallet" in blockchain systems? To provide encryption to the blockchain network To validate transactions To store cryptocurrency and public/private keys To mine new blocks 9 / 20 Which of the following is a feature of "permissioned" blockchain networks? They use Proof of Work as the consensus mechanism Transactions are anonymous and untraceable Only authorized participants can access and validate the blockchain They are completely public and accessible by anyone 10 / 20 Which of the following is the primary feature of blockchain technology? Decentralized and immutable ledger Centralized control Limited scalability High transaction fees 11 / 20 Which of the following is an example of a blockchain that uses the Proof of Stake (PoS) consensus mechanism? Ethereum 2.0 Litecoin Bitcoin Ripple 12 / 20 Which of the following is NOT a consensus mechanism in blockchain? Proof of Work (PoW) Proof of Authority (PoA) Proof of Transaction (PoT) Proof of Stake (PoS) 13 / 20 In which of the following situations is blockchain most useful? Storing data in a decentralized and tamper-proof manner Sending unencrypted email messages Making high-frequency trades in financial markets Managing cloud storage infrastructure 14 / 20 Which of the following is a type of blockchain that only allows authorized participants to join? Hybrid Blockchain Consortium Blockchain Public Blockchain Private Blockchain 15 / 20 What is the main purpose of a "smart contract" in blockchain technology? To ensure scalability in blockchain networks To provide encryption for all transactions To act as a database To facilitate, verify, and enforce the terms of a contract automatically 16 / 20 Which blockchain platform is primarily used for creating and managing smart contracts and decentralized applications (dApps)? Bitcoin Ripple Ethereum Litecoin 17 / 20 What is the term used to refer to a public key used in blockchain systems? Private Key Public Address Transaction Key Blockchain Key 18 / 20 In blockchain, what is the term used for a block that has been successfully added to the chain? Transaction Block confirmation Hash Node 19 / 20 Which cryptographic technique is used to ensure the integrity and security of transactions in blockchain? Hashing AES Encryption RSA Encryption Public Key Cryptography 20 / 20 Which consensus mechanism is used by Bitcoin to validate transactions? Proof of Work (PoW) Proof of Authority (PoA) Delegated Proof of Stake (DPoS) Proof of Stake (PoS) Your score isThe average score is 50% 0% Restart quiz
Uncategorized Data science Screen Test Jan 7, 2025 mfh.officials@gmail.com 0 Comment Data science Data science Screening test 1 / 20 Which of the following techniques is used for dimensionality reduction? Decision Trees K-means clustering Principal Component Analysis (PCA) Naive Bayes 2 / 20 Which of the following libraries is primarily used for deep learning? scikit-learn pandas TensorFlow Matplotlib 3 / 20 2. In a decision tree, the split criterion is typically based on: Root mean squared error Information gain or Gini impurity Variance Sum of squared errors 4 / 20 What is the purpose of regularization in machine learning? To speed up training To improve model interpretability To increase model complexity To reduce overfitting by penalizing large coefficients 5 / 20 In a time series forecasting problem, which of the following is most commonly used to check for stationarity? Durbin-Watson test ACF/PACF plots Augmented Dickey-Fuller (ADF) test Shapiro-Wilk test 6 / 20 Which of the following algorithms is most appropriate for predicting a continuous outcome variable? K-nearest neighbors (classification) K-means clustering Linear regression Decision tree classification 7 / 20 Which evaluation metric is most appropriate for imbalanced classification problems? R-squared Precision and Recall Mean Squared Error Accuracy 8 / 20 In the context of model evaluation, what does the "ROC curve" stand for? Receiver Operating Characteristic Curve Residual Output Curve Recurrent Operations Curve Root Output Curve 9 / 20 What is the "bias-variance tradeoff"? Increasing model complexity reduces bias and increases variance Increasing model complexity does not affect bias or variance Increasing model complexity reduces both bias and variance Increasing model complexity reduces variance and increases bias 10 / 20 Which of the following is a hyperparameter for the k-means clustering algorithm? Activation function Regularization strength Number of clusters (k) Learning rate 11 / 20 Which of the following is TRUE about ensemble methods? They are always more computationally expensive than single models They combine multiple weak models to create a stronger model They cannot be used with decision trees They are less prone to overfitting than single models 12 / 20 Which of the following is the most appropriate way to deal with missing values in a dataset? Replace missing values with zeros Drop all rows with missing values Replace missing values with the mean or median of the column Use a model-based imputation method 13 / 20 Cross-validation is primarily used to: Reduce overfitting and assess model performance Tune hyperparameters Split data into training and testing sets Visualize data 14 / 20 Which of the following is a key assumption of the linear regression model? Independence of dependent variables Non-linearity between independent and dependent variables Homoscedasticity Multicollinearity 15 / 20 Which of the following metrics is used to evaluate clustering models? Silhouette score Precision ROC-AUC F1-score 16 / 20 What is the purpose of the Adam optimizer in neural networks? To adjust the learning rate during training To calculate the gradient of the loss function To reduce the loss function To perform backpropagation 17 / 20 The "curse of dimensionality" refers to: The difficulty of visualizing data in high-dimensional spaces The difficulty in finding a suitable machine learning model The increasing complexity of models with more features The tendency of high-dimensional data to become sparse 18 / 20 Which of the following is an example of unsupervised learning? Principal Component Analysis (PCA) Linear Regression Logistic Regressi Decision Trees 19 / 20 In random forests, what is the primary advantage over a single decision tree? It reduces variance and improves accuracy by averaging predictions It always uses shallow trees It uses more training data It is more interpretable 20 / 20 Which of the following is a disadvantage of the k-nearest neighbors (KNN) algorithm? Answer: B) It requires a large amount of training data It is difficult to interpret It cannot handle multi-class classification It requires a large amount of training data It assumes linearity in the data Your score is
Uncategorized AI/ML Screening Test Jan 7, 2025 mfh.officials@gmail.com 0 Comment Artificial Intelligence (AI) and Machine Learning (ML) 1 / 18 Which neural network architecture is designed to work with sequential data such as time-series or text? Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN) Fully Connected Networks Deep Belief Networks 2 / 18 In deep learning, which of the following techniques is used to prevent the model from overfitting? All of the above Dropout L2 Regularization Early Stopping 3 / 18 Which type of machine learning algorithm is used to group data points into distinct clusters? Clustering Regression Classification Dimensionality Reduction 4 / 18 Which of the following is a characteristic of supervised learning? The model learns to classify data into distinct categories without labels. The model learns patterns without labeled data. The model learns from labeled data. The model uses feedback from the environment. 5 / 18 Which of the following algorithms is typically used for outlier detection in continuous data? DBSCAN Decision Trees K-Means Naive Bayes 6 / 18 Which of the following measures the proportion of false positives in a classification problem? Precision False Positive Rate (FPR) F1 Score Recall 7 / 18 What is the purpose of "feature scaling" in machine learning? To reduce the number of features To increase the interpretability of the model To eliminate missing values To make sure all features are on the same scale to improve model performance 8 / 18 Which of the following models uses the concept of a "kernel" to map input data into a higher-dimensional space? Naive Bayes Logistic Regression Decision Trees Support Vector Machines (SVM) 9 / 18 What does the "softmax" activation function do? Maps any value between 0 and 1 Prevents overfitting in the model Converts the output of a network to a probability distribution Introduces non-linearity to the network 10 / 18 Which of the following is NOT a type of Machine Learning? Evolutionary Learning Unsupervised Learning Supervised Learning Reinforcement Learning 11 / 18 Which technique can be used to prevent overfitting in deep learning models? All of the above Cross-validation Regularization (L1/L2) Early stopping 12 / 18 Which of the following is true for the concept of "Gradient Descent"? It works by choosing random weights for model parameters. It always converges to the global minimum. It cannot be used for deep learning models. It is used to optimize a function by finding the local minimum. 13 / 18 Which of the following techniques is used to improve the performance of an underfitting model? Regularization Cross-validation Increase model complexity Pruning 14 / 18 Which type of neural network is specifically designed for spatial data, such as images? Recurrent Neural Networks (RNN) Generative Adversarial Networks (GAN) Multilayer Perceptrons (MLP) Convolutional Neural Networks (CNN) 15 / 18 Which of the following is true about decision trees? They are not interpretable. They split data based on feature values using a tree-like structure. They can only be used for classification tasks. They are sensitive to overfitting only on very small datasets. 16 / 18 Which technique is used to evaluate the performance of a regression model? Precision Accuracy Mean Squared Error (MSE) ROC Curve 17 / 18 Which algorithm is best suited for detecting anomalies in data? Decision Trees K-Means Clustering Naive Bayes One-Class SVM 18 / 18 What is "bias" in machine learning? The error due to lack of data The error due to model complexity The error due to incorrect assumptions made by the model The error due to random fluctuations in the dataset Your score isThe average score is 48%