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Database Management on AWS Quiz

#1

Which AWS service is used for relational database management?

Amazon RDS
Explanation

Amazon RDS is Amazon's Relational Database Service, offering managed relational databases.

#2

What does RDS stand for in the context of AWS databases?

Relational Database Service
Explanation

RDS stands for Relational Database Service, providing managed relational databases in AWS.

#3

Which AWS service is best suited for NoSQL databases?

Amazon DynamoDB
Explanation

Amazon DynamoDB is ideal for NoSQL databases, offering scalability and performance.

#4

What is the maximum storage size for an Amazon RDS instance?

1 PB
Explanation

An Amazon RDS instance can store up to 1 PB of data.

#5

Which of the following is not a supported database engine in Amazon RDS?

MongoDB
Explanation

MongoDB is not a supported database engine in Amazon RDS; it's better suited for DocumentDB or DynamoDB.

#6

What is the primary benefit of using Amazon Aurora compared to traditional database engines?

Faster performance
Explanation

Amazon Aurora offers faster performance compared to traditional database engines, with high availability and scalability.

#7

What is the purpose of Amazon DynamoDB Accelerator (DAX)?

To enhance DynamoDB query performance
Explanation

Amazon DynamoDB Accelerator (DAX) improves query performance by caching frequently accessed data.

#8

What is the purpose of Amazon ElastiCache?

To cache data in-memory
Explanation

Amazon ElastiCache is used to cache data in-memory, improving the performance of applications.

#9

What is the maximum number of read replicas allowed for an Amazon RDS instance?

20
Explanation

An Amazon RDS instance can have up to 20 read replicas for scaling read operations.

#10

What is the primary difference between Amazon Redshift and Amazon RDS?

Redshift is a data warehousing solution, while RDS is a managed relational database service
Explanation

Amazon Redshift is designed for data warehousing, while RDS is focused on managing relational databases.

#11

What is Amazon Neptune used for?

Graph database
Explanation

Amazon Neptune is used for building graph databases, offering high availability and scalability.

#12

Which AWS service is suitable for real-time streaming of data?

Amazon Kinesis
Explanation

Amazon Kinesis is ideal for real-time streaming of data, providing capabilities for ingestion and processing.

#13

What is the purpose of Amazon DocumentDB?

To manage structured data
Explanation

Amazon DocumentDB is designed to manage structured data, providing compatibility with MongoDB applications.

#14

What is the primary benefit of using Amazon Redshift Spectrum?

It enables querying of data directly in Amazon S3 without loading into Redshift
Explanation

Amazon Redshift Spectrum allows querying of data in Amazon S3 without needing to load it into Redshift, offering cost-effective and scalable analytics.

#15

What is the primary benefit of using Amazon Neptune for graph databases?

Scalability to handle large datasets
Explanation

Amazon Neptune provides scalability to handle large datasets in graph databases, supporting highly connected data.

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