MCQs on DynamoDB for Enterprise Applications | DynamoDB MCQ Question & Answer
AWS DynamoDB is a fully managed NoSQL database service that offers high performance and scalability, making it ideal for enterprise applications. This set of AWS DynamoDB MCQ questions and answers focuses on advanced topics like integration with AWS Lambda, building scalable APIs, multi-region replication, and troubleshooting complex systems. Mastering these concepts will help you design efficient and robust enterprise-level solutions.
AWS DynamoDB MCQs
Chapter 7: DynamoDB for Enterprise Applications
1. What is a key benefit of using DynamoDB with AWS Lambda in a serverless architecture?
a) Improved data durability
b) Automatic scaling with no server management
c) Reduced data replication time
d) Increased cost due to compute resources
2. When building scalable APIs with DynamoDB, which feature is most important?
a) Strong consistency
b) Global Secondary Indexes (GSI)
c) Eventual consistency
d) Read capacity units (RCUs)
3. What is the main advantage of using DynamoDB’s Global Tables for enterprise applications?
a) They allow querying across multiple regions
b) They allow automatic scaling of read and write capacity
c) They provide high availability within a single region
d) They are cheaper to use for global operations
4. What type of replication does DynamoDB Global Tables support?
a) Synchronous replication across regions
b) Asynchronous replication across regions
c) Replication only within a region
d) Manual replication configuration
5. Which AWS service can be used with DynamoDB to enable automated scaling in serverless architectures?
a) Amazon EC2
b) AWS Lambda
c) Amazon S3
d) AWS CloudFormation
6. How does DynamoDB handle multi-region replication for global applications?
a) By automatically distributing data to multiple regions based on demand
b) By replicating data asynchronously to multiple regions
c) By replicating data synchronously only within a single region
d) By using a single region and copying data manually to others
7. What is a primary use case for DynamoDB Global Tables in enterprise applications?
a) Storing session data for a single region
b) Synchronizing data between multiple regions for global applications
c) Enabling rapid development of APIs
d) Reducing database storage costs
8. When integrating DynamoDB with AWS Lambda, what kind of events can trigger Lambda functions?
a) Data changes (e.g., inserts, updates, deletes) in DynamoDB
b) Scheduled events only
c) Only read requests from DynamoDB
d) Only write requests to DynamoDB
9. Which of the following is a best practice for scaling APIs with DynamoDB?
a) Use a single table for all data types
b) Rely solely on strong consistency for all queries
c) Use multiple tables for different types of data
d) Avoid using Global Secondary Indexes (GSI)
10. What happens if DynamoDB Global Tables encounter conflicts when replicating data across regions?
a) The last write wins, and the conflict is automatically resolved
b) The system throws an error and stops replication
c) The conflicting data is discarded
d) Manual intervention is required to resolve the conflict
11. How does DynamoDB ensure high availability in a global enterprise application using Global Tables?
a) By replicating data to a single region
b) By allowing multi-region, multi-master replication
c) By using a load balancer for routing traffic
d) By limiting replication to read-only operations
12. In an enterprise system using DynamoDB and AWS Lambda, how can performance be optimized for large-scale operations?
a) By using only the Query operation
b) By choosing appropriate read/write capacity and using batch operations
c) By using high consistency models for all queries
d) By caching all responses in Amazon S3
13. Which of the following is NOT a common use case for DynamoDB in enterprise applications?
a) Mobile application backend data storage
b) High-frequency trading systems
c) Session management for web applications
d) Storing large video files
14. When troubleshooting a DynamoDB-based application, which tool can help you analyze performance and query behavior?
a) AWS CloudWatch
b) AWS Lambda Metrics
c) AWS Glue
d) Amazon Inspector
15. Which of the following strategies can help reduce latency in DynamoDB when used in a global application?
a) Use only eventual consistency for all queries
b) Use Global Secondary Indexes (GSI) for all queries
c) Place tables and indexes in the same region as your user base
d) Avoid using write-heavy tables
16. In an enterprise architecture, how can you ensure that DynamoDB scales automatically based on traffic?
a) Use provisioned throughput with manual scaling
b) Set up on-demand mode for automatic scaling
c) Use a read replica for scaling
d) Rely on AWS CloudFormation for scaling
17. What is the purpose of AWS X-Ray when troubleshooting DynamoDB applications?
a) To trace database errors in real time
b) To analyze database schema
c) To monitor AWS Lambda performance only
d) To simulate DynamoDB query behavior
18. What would be the most efficient way to migrate a DynamoDB table to a new region in a global application?
a) Manually copy data to the new region
b) Use DynamoDB Global Tables for automatic data migration
c) Use Amazon S3 to store backups and restore to the new region
d) Use AWS Data Pipeline for migration
19. In a highly transactional DynamoDB setup for enterprise applications, which feature helps ensure data integrity across regions?
a) Transactional support with multi-region ACID transactions
b) Eventual consistency for faster reads
c) Batch operations for large write operations
d) Using read replicas for data consistency
20. How can you manage access control for DynamoDB in enterprise applications?
a) Using AWS IAM policies and roles
b) By setting up a custom access control layer
c) By enabling public access to all tables
d) By using S3 bucket policies
21. Which AWS feature helps you handle schema changes in DynamoDB for enterprise applications?
a) DynamoDB Streams
b) AWS CloudFormation
c) DynamoDB Table Provisioning
d) AWS Glue for schema evolution
22. What happens when DynamoDB’s provisioned throughput limit is exceeded?
a) Requests are automatically queued for later execution
b) DynamoDB throttles the requests and returns a 400 error
c) DynamoDB automatically increases the throughput limit
d) All requests are rejected until the limit resets
23. How can DynamoDB handle large volumes of writes efficiently in an enterprise setting?
a) By using DynamoDB Streams for asynchronous writes
b) By enabling write sharding and distributing writes
c) By using the Query API for bulk writes
d) By minimizing the use of GSIs
24. How can you troubleshoot slow queries in a DynamoDB-based enterprise application?
a) By using AWS CloudTrail to analyze query logs
b) By optimizing the table schema and indexes
c) By using DynamoDB Streams to trace slow queries
d) By manually rewriting all queries
25. Which of the following is essential when using DynamoDB in a serverless architecture?
a) Using Lambda functions for every query
b) Configuring provisioned throughput for all tables
c) Choosing on-demand capacity mode for scalability
d) Avoiding use of Global Secondary Indexes
26. In a large-scale enterprise application, how do you ensure DynamoDB remains cost-efficient while scaling?
a) Use provisioned capacity for all tables
b) Use on-demand mode for unpredictable workloads
c) Avoid using indexes
d) Keep all data in a single region
27. What is the purpose of DynamoDB Streams in enterprise applications?
a) To provide additional storage for backups
b) To capture changes to items in a table for real-time processing
c) To enable multi-region replication
d) To monitor query performance
28. What is the maximum size for an item in DynamoDB?
a) 64 KB
b) 400 KB
c) 1 MB
d) 5 MB
29. Which of the following is an advantage of using DynamoDB for mobile app backends in enterprise applications?
a) Low-latency reads and writes
b) High-cost storage
c) Limited scalability
d) Complicated data modeling
30. What happens if DynamoDB’s Global Tables feature is not available in a region?
a) The table will be automatically replicated to an available region
b) Data replication will be delayed
c) The table cannot be created in that region
d) Global Tables functionality will work in other regions only
Answers Table
| Qno | Answer |
|---|---|
| 1 | b) Automatic scaling with no server management |
| 2 | b) Global Secondary Indexes (GSI) |
| 3 | a) They allow querying across multiple regions |
| 4 | b) Asynchronous replication across regions |
| 5 | b) AWS Lambda |
| 6 | b) By replicating data asynchronously to multiple regions |
| 7 | b) Synchronizing data between multiple regions for global applications |
| 8 | a) Data changes (e.g., inserts, updates, deletes) in DynamoDB |
| 9 | c) Use multiple tables for different types of data |
| 10 | a) The last write wins, and the conflict is automatically resolved |
| 11 | b) By allowing multi-region, multi-master replication |
| 12 | b) By choosing appropriate read/write capacity and using batch operations |
| 13 | d) Storing large video files |
| 14 | a) AWS CloudWatch |
| 15 | c) Place tables and indexes in the same region as your user base |
| 16 | b) Set up on-demand mode for automatic scaling |
| 17 | a) To trace database errors in real time |
| 18 | b) Use DynamoDB Global Tables for automatic data migration |
| 19 | a) Transactional support with multi-region ACID transactions |
| 20 | a) Using AWS IAM policies and roles |
| 21 | a) DynamoDB Streams |
| 22 | b) DynamoDB throttles the requests and returns a 400 error |
| 23 | b) By enabling write sharding and distributing writes |
| 24 | b) By optimizing the table schema and indexes |
| 25 | c) Choosing on-demand capacity mode for scalability |
| 26 | b) Use on-demand mode for unpredictable workloads |
| 27 | b) To capture changes to items in a table for real-time processing |
| 28 | b) 400 KB |
| 29 | a) Low-latency reads and writes |
| 30 | c) The table cannot be created in that region |