MCQs on Aurora Best Practices and Use Cases | AWS Amazon Aurora MCQs Questions
Boost your expertise in Amazon Aurora with these AWS Amazon Aurora MCQ questions and answers. This set of 30 MCQs focuses on Chapter 7 topics, including scalable application design, security best practices, use cases for Aurora, database migration strategies, and certification resources. Prepare effectively and enhance your knowledge with these targeted questions.
MCQs on Designing Scalable Applications with Aurora
- What feature of Amazon Aurora supports high availability and fault tolerance?
a) Multi-AZ Deployment
b) Single-Node Configuration
c) Static Scaling
d) DynamoDB Integration - How does Aurora Serverless scale automatically?
a) By adding new database instances
b) By adjusting the CPU and memory
c) By creating additional storage buckets
d) By enabling manual intervention - Which database engine is not supported by Amazon Aurora?
a) MySQL
b) PostgreSQL
c) Oracle
d) Aurora-specific engine - To optimize read performance in Amazon Aurora, you should:
a) Use read replicas
b) Increase write throughput
c) Disable cache
d) Use smaller instance types - What is the maximum storage size supported by Aurora?
a) 16 TB
b) 64 TB
c) 32 TB
d) 128 TB - Which Aurora feature ensures consistent and low-latency reads?
a) Parallel Query
b) Automatic Backups
c) Global Database
d) Multi-Master Deployment - What is the key advantage of Aurora Global Database?
a) Automated scaling
b) Cross-region replication
c) Reduced storage costs
d) Faster backup processes - What is a recommended practice for designing a scalable Aurora database?
a) Enable auto-scaling for read replicas
b) Use multiple writers in a single region
c) Avoid partitioning tables
d) Disable connection pooling
MCQs on Best Practices for Aurora Security and Compliance
- Which security feature in Aurora encrypts data at rest?
a) SSL/TLS Encryption
b) KMS Integration
c) IAM Roles
d) Access Control Lists - How can you restrict access to an Aurora database?
a) Configure VPC Security Groups
b) Use AWS Elastic Beanstalk
c) Enable S3 bucket policies
d) Disable IAM users - To achieve compliance, Aurora supports which auditing tool?
a) AWS CloudTrail
b) AWS Lambda
c) Amazon QuickSight
d) AWS SageMaker - What is the default encryption algorithm used in Aurora?
a) RSA-2048
b) AES-256
c) SHA-512
d) MD5 - To protect sensitive data in transit, Aurora uses:
a) SSL/TLS connections
b) Data hashing
c) Public key encryption
d) Serverless triggers - What is a key Aurora feature for disaster recovery?
a) Cross-region replication
b) Manual backups
c) IAM user roles
d) S3 event triggers - Which compliance standard is supported by Amazon Aurora?
a) PCI DSS
b) COBIT
c) SOX
d) ITIL - What is a best practice for monitoring Aurora database security?
a) Enable CloudWatch alarms
b) Restrict monitoring to admins
c) Disable logs
d) Use static keys
MCQs on Use Cases: E-Commerce, Analytics, and Real-Time Applications
- Why is Aurora ideal for e-commerce applications?
a) High read and write scalability
b) Fixed monthly pricing
c) No requirement for backups
d) Only supports single-region deployments - What Aurora feature supports real-time analytics?
a) Parallel Query
b) Automated Snapshots
c) Multi-Master Mode
d) Cross-region read replicas - Which Aurora database engine is best for analytics workloads?
a) PostgreSQL
b) MySQL
c) MariaDB
d) DynamoDB - Aurora’s replication lag for read replicas is typically:
a) Sub-second
b) 5 seconds
c) 10 seconds
d) 15 seconds - Real-time applications benefit from Aurora’s:
a) Low-latency read replicas
b) Static instance sizes
c) Manual scaling
d) Backup-only mode - What is a key feature for supporting high traffic e-commerce websites?
a) Aurora Auto Scaling
b) DynamoDB Streams
c) S3 Integration
d) Reserved instances - Which Aurora feature supports multi-region analytics?
a) Global Database
b) Elastic Beanstalk
c) Amazon QuickSight
d) AWS Kinesis - Aurora supports which real-time application scenario?
a) Chat applications
b) Data archiving
c) Batch processing
d) Static websites
MCQs on Migrating Databases to Amazon Aurora
- Which AWS service helps migrate databases to Aurora?
a) AWS DMS
b) AWS CodePipeline
c) AWS CloudTrail
d) AWS Snowball - What is a common challenge when migrating to Aurora?
a) Schema incompatibility
b) Lack of support for encryption
c) High latency issues
d) Limited storage - Which Aurora migration option allows near-zero downtime?
a) Continuous replication
b) Manual backups
c) Batch uploads
d) Static DNS updates - Before migration, you should:
a) Analyze database compatibility
b) Disable backups
c) Reduce storage size
d) Enable IAM policies - Aurora migration is best suited for which database?
a) MySQL-compatible databases
b) NoSQL databases
c) File-based storage
d) Graph databases - What tool can be used to validate data after migration to Aurora?
a) AWS Schema Conversion Tool
b) AWS S3 Console
c) AWS Glue Crawler
d) AWS Route 53
Answers Table
| Qno | Answer |
|---|---|
| 1 | a) Multi-AZ Deployment |
| 2 | b) By adjusting the CPU and memory |
| 3 | c) Oracle |
| 4 | a) Use read replicas |
| 5 | b) 64 TB |
| 6 | a) Parallel Query |
| 7 | b) Cross-region replication |
| 8 | a) Enable auto-scaling for read replicas |
| 9 | b) KMS Integration |
| 10 | a) Configure VPC Security Groups |
| 11 | a) AWS CloudTrail |
| 12 | b) AES-256 |
| 13 | a) SSL/TLS connections |
| 14 | a) Cross-region replication |
| 15 | a) PCI DSS |
| 16 | a) Enable CloudWatch alarms |
| 17 | a) High read and write scalability |
| 18 | a) Parallel Query |
| 19 | a) PostgreSQL |
| 20 | a) Sub-second |
| 21 | a) Low-latency read replicas |
| 22 | a) Aurora Auto Scaling |
| 23 | a) Global Database |
| 24 | a) Chat applications |
| 25 | a) AWS DMS |
| 26 | a) Schema incompatibility |
| 27 | a) Continuous replication |
| 28 | a) Analyze database compatibility |
| 29 | a) MySQL-compatible databases |
| 30 | a) AWS Schema Conversion Tool |