Sample Questions and Answers
Which AWS service is best for performing data transformations and managing workflows for ETL processes?
AWS Lambda
B. AWS Glue
C. Amazon Redshift
D. Amazon RDS
Answer: B. AWS Glue
Explanation: AWS Glue is a fully managed ETL service that automates data transformation, workflow management, and job scheduling.
You want to enforce strict data access policies for a data lake in Amazon S3. Which AWS service helps you manage fine-grained access control?
AWS IAM
B. Amazon S3 Access Points
C. AWS Config
D. Amazon Redshift Spectrum
Answer: B. Amazon S3 Access Points
Explanation: Amazon S3 Access Points help you manage access control for shared data sets in S3 with fine-grained access policies based on specific use cases.
Which AWS service provides real-time stream processing of data with low latency and high throughput?
AWS Lambda
B. Amazon Kinesis
C. Amazon SQS
D. AWS Glue
Answer: B. Amazon Kinesis
Explanation: Amazon Kinesis allows real-time stream processing of data, with low-latency and high-throughput capabilities for building applications that require real-time analytics.
Which AWS service provides automated backup management for Amazon RDS instances?
Amazon S3
B. AWS Backup
C. Amazon RDS Snapshots
D. AWS Lambda
Answer: B. AWS Backup
Explanation: AWS Backup automates backup management for Amazon RDS and other AWS resources, simplifying backup creation, retention, and restoration processes.
You need to perform machine learning and data analytics on large datasets in Amazon S3. Which AWS service would you use to create a data pipeline for this purpose?
AWS Lambda
B. Amazon Redshift
C. AWS Data Pipeline
D. Amazon S3 Select
Answer: C. AWS Data Pipeline
Explanation: AWS Data Pipeline allows you to automate the movement and transformation of data between different AWS services, including Amazon S3, for machine learning and analytics tasks.
Which AWS service allows you to set up an automated data lake from various data sources and enforce security policies?
AWS Glue
B. AWS Lake Formation
C. Amazon Athena
D. Amazon S3
Answer: B. AWS Lake Formation
Explanation: AWS Lake Formation is a service designed to help you build, secure, and manage data lakes while enforcing access control policies.
You want to securely share data across AWS accounts. Which AWS service would you use to securely transfer large datasets?
AWS S3 Replication
B. AWS DataSync
C. AWS Lambda
D. Amazon EFS
Answer: B. AWS DataSync
Explanation: AWS DataSync provides a fast and secure way to transfer large datasets between AWS storage services or on-premises storage systems.
What feature in Amazon S3 can be used to automatically move data to the most cost-effective storage class based on its access pattern?
S3 Replication
B. S3 Lifecycle Policies
C. S3 Versioning
D. S3 Glacier
Answer: B. S3 Lifecycle Policies
Explanation: S3 Lifecycle Policies automate the transition of objects between different S3 storage classes based on access patterns or retention needs.
You are building a data lake on AWS. Which of the following services would you use to catalog and manage metadata?
Amazon Redshift
B. AWS Glue Catalog
C. Amazon S3
D. AWS Kinesis
Answer: B. AWS Glue Catalog
Explanation: The AWS Glue Catalog is a central metadata repository used for managing the schema and metadata of data stored in various AWS services, including Amazon S3.
You are storing sensitive customer data in Amazon RDS. To meet compliance requirements, what should you do to secure the data?
Use RDS encryption with AWS Key Management Service (KMS)
B. Enable Multi-AZ deployments
C. Set up IAM roles for access control
D. Enable Amazon RDS backups
Answer: A. Use RDS encryption with AWS Key Management Service (KMS)
Explanation: RDS encryption with KMS ensures that sensitive data is securely encrypted both at rest and during transit, meeting compliance and security requirements.
Which AWS service would you use to store and manage large amounts of unstructured data such as images or videos?
Amazon RDS
B. Amazon S3
C. Amazon DynamoDB
D. AWS Lambda
Answer: B. Amazon S3
Explanation: Amazon S3 is designed for storing and managing large amounts of unstructured data like images, videos, and documents.
Which AWS service allows you to run large-scale parallel and distributed computing jobs on EC2 instances?
AWS Batch
B. AWS Lambda
C. Amazon Kinesis
D. Amazon EC2 Auto Scaling
Answer: A. AWS Batch
Explanation: AWS Batch is a fully managed service that runs large-scale parallel and distributed computing jobs on EC2 instances without needing to manage the underlying infrastructure.
You need to load data from an on-premises data store to Amazon S3. Which of the following services would you use?
AWS Snowball
B. AWS Direct Connect
C. Amazon EC2
D. AWS DataSync
Answer: D. AWS DataSync
Explanation: AWS DataSync allows you to automate data transfer between on-premises storage and AWS services, such as Amazon S3.
You want to run a Spark application on AWS that processes data stored in S3. Which service should you use?
Amazon EMR
B. AWS Lambda
C. Amazon Redshift
D. AWS Glue
Answer: A. Amazon EMR
Explanation: Amazon EMR is a cloud-native big data platform that allows you to run Spark applications and process data stored in Amazon S3.
Which AWS service allows you to define and run machine learning workflows that transform and process data in real-time?
AWS Glue
B. Amazon Kinesis Data Streams
C. AWS Lambda
D. Amazon SageMaker
Answer: B. Amazon Kinesis Data Streams
Explanation: Amazon Kinesis Data Streams allows you to collect, process, and analyze real-time streaming data for applications such as real-time analytics and machine learning.
Which AWS service enables you to run SQL queries on structured data stored in Amazon S3?
AWS Athena
B. AWS Lambda
C. Amazon RDS
D. Amazon Redshift
Answer: A. AWS Athena
Explanation: Amazon Athena allows you to run SQL queries on structured data stored in Amazon S3 without needing to load the data into a database.
You need to create a scalable and cost-efficient solution for storing logs from multiple AWS services. Which of the following services should you use?
Amazon S3
B. AWS CloudWatch Logs
C. Amazon Kinesis
D. Amazon RDS
Answer: B. AWS CloudWatch Logs
Explanation: AWS CloudWatch Logs is ideal for collecting and storing log data from various AWS services in a centralized and scalable manner.
You need to secure access to your S3 bucket by limiting access to a specific IP range. What feature can you use?
IAM roles
B. Bucket policy
C. S3 Access Points
D. VPC Peering
Answer: B. Bucket policy
Explanation: You can use an S3 bucket policy to restrict access based on specific conditions, such as an IP range, to secure your data in S3.
What service should you use to analyze data stored in a distributed manner across multiple AWS accounts?
Amazon Redshift Spectrum
B. AWS Lake Formation
C. AWS Glue
D. Amazon S3 Select
Answer: B. AWS Lake Formation
Explanation: AWS Lake Formation allows you to centralize data from multiple sources, including different AWS accounts, and manage metadata, permissions, and security.
What is the primary benefit of using Amazon S3 Glacier for archiving data?
It provides low-cost storage for infrequently accessed data
B. It allows real-time data access
C. It supports low-latency streaming
D. It provides high-performance analytics
Answer: A. It provides low-cost storage for infrequently accessed data
Explanation: Amazon S3 Glacier is a low-cost storage service designed for long-term archival of infrequently accessed data, with retrieval times ranging from minutes to hours.
Which AWS service helps you to analyze and visualize real-time data streams?
AWS Glue
B. Amazon Kinesis Data Analytics
C. Amazon Redshift
D. AWS Batch
Answer: B. Amazon Kinesis Data Analytics
Explanation: Amazon Kinesis Data Analytics allows you to analyze and visualize real-time streaming data directly from Amazon Kinesis Data Streams.
You need to perform advanced analytics on data stored in Amazon S3. Which AWS service should you use to create a data warehouse for analytics?
Amazon Redshift
B. Amazon S3 Select
C. Amazon DynamoDB
D. Amazon Athena
Answer: A. Amazon Redshift
Explanation: Amazon Redshift is a fully managed data warehouse service that allows you to run complex queries and analytics on large datasets, including those stored in Amazon S3.
Which AWS service is used to automate the provisioning of computing resources for big data workloads?
Amazon S3
B. AWS Lambda
C. AWS Batch
D. Amazon EMR
Answer: D. Amazon EMR
Explanation: Amazon EMR is used for provisioning and managing computing resources to run big data workloads such as Apache Hadoop, Spark, and Presto on AWS.
Which AWS service allows you to store and query structured data in a managed, serverless SQL database?
Amazon RDS
B. Amazon Redshift
C. Amazon Aurora
D. Amazon Athena
Answer: D. Amazon Athena
Explanation: Amazon Athena allows you to query structured data stored in Amazon S3 using SQL without needing to provision any servers.
What feature in Amazon DynamoDB provides the ability to automatically scale read and write capacity?
DynamoDB Streams
B. DynamoDB Accelerator (DAX)
C. Auto Scaling
D. Global Tables
Answer: C. Auto Scaling
Explanation: DynamoDB Auto Scaling automatically adjusts read and write capacity to accommodate changes in workload demands.
Which of the following services allows you to move large amounts of data from on-premises to AWS quickly and securely?
AWS Snowball
B. AWS DataSync
C. Amazon S3
D. AWS Transfer Family
Answer: A. AWS Snowball
Explanation: AWS Snowball is a service that allows you to securely transfer large amounts of data from on-premises storage to AWS by shipping physical appliances.
Which AWS service provides centralized logging for AWS Lambda functions?
AWS CloudTrail
B. AWS CloudWatch Logs
C. AWS X-Ray
D. Amazon RDS
Answer: B. AWS CloudWatch Logs
Explanation: AWS CloudWatch Logs enables you to monitor and store logs from AWS Lambda functions to track performance and troubleshoot issues.
You need to set up a data lake on AWS. Which service should you use to help define access policies and metadata?
AWS Glue
B. AWS Lake Formation
C. Amazon Redshift
D. AWS Data Pipeline
Answer: B. AWS Lake Formation
Explanation: AWS Lake Formation simplifies the process of setting up a data lake, managing metadata, and defining access policies across data stored in Amazon S3.
What service in AWS can you use to store unstructured data such as documents, images, and backups?
Amazon RDS
B. Amazon S3
C. Amazon DynamoDB
D. Amazon Aurora
Answer: B. Amazon S3
Explanation: Amazon S3 is an object storage service that provides durable, scalable, and cost-effective storage for unstructured data like images, videos, and backups.
Which AWS service provides data replication between different AWS regions for disaster recovery?
Amazon S3 Cross-Region Replication
B. AWS Lambda
C. AWS Elastic Beanstalk
D. Amazon RDS
Answer: A. Amazon S3 Cross-Region Replication
Explanation: Amazon S3 Cross-Region Replication automatically replicates data between different AWS regions to provide disaster recovery and enhance data durability.
You want to analyze streaming data from multiple sources and process it in real-time. Which service should you use?
Amazon Kinesis
B. AWS Lambda
C. Amazon S3
D. AWS Glue
Answer: A. Amazon Kinesis
Explanation: Amazon Kinesis is a platform for real-time data processing that allows you to collect, process, and analyze streaming data from multiple sources.
You need to store and query petabytes of data while ensuring that data is processed quickly and cost-effectively. Which AWS service would you use?
Amazon RDS
B. Amazon Redshift
C. Amazon S3
D. Amazon DynamoDB
Answer: B. Amazon Redshift
Explanation: Amazon Redshift is a managed data warehouse service designed for scalable, high-performance analytics on large datasets.
Which AWS service helps you migrate large amounts of data from on-premises storage to Amazon S3?
AWS Snowball
B. AWS Storage Gateway
C. Amazon S3 Transfer Acceleration
D. AWS DataSync
Answer: A. AWS Snowball
Explanation: AWS Snowball provides a physical device for transferring large datasets from on-premises storage to Amazon S3.
Which of the following AWS services is most suitable for processing large-scale data stored in Amazon S3?
AWS Batch
B. Amazon Redshift
C. Amazon EMR
D. AWS Glue
Answer: C. Amazon EMR
Explanation: Amazon EMR is a managed big data platform for processing large datasets, including those stored in Amazon S3.
What AWS service helps you build machine learning models without writing any code?
Amazon SageMaker
B. AWS Lambda
C. Amazon Kinesis
D. AWS Glue
Answer: A. Amazon SageMaker
Explanation: Amazon SageMaker provides tools to build, train, and deploy machine learning models, and includes a no-code interface for model creation.
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