AWS Database and Analytics Services Flashcards
7 cards from real AWS practice questions. Tap to flip, then mark Knew It or Still Learning โ missed cards come back until you master them.
Read the first 7 AWS Database and Analytics Services flashcards as text
A company needs to run complex SQL analytics on petabytes of structured data with minimal administration. Which AWS service is BEST suited?
Answer: Amazon Redshift
Amazon Redshift is a fully managed petabyte-scale data warehouse optimized for complex analytical queries using SQL.
Which Amazon DynamoDB feature automatically distributes data and traffic across multiple partitions to handle increased load?
Answer: Adaptive Capacity
DynamoDB Adaptive Capacity automatically redistributes capacity to partitions that receive more traffic, preventing throttling.
A team wants to query data stored in S3 using standard SQL without loading it into a database. Which service enables this?
Answer: Amazon Athena
Amazon Athena is a serverless interactive query service that allows you to analyze data directly in S3 using standard SQL.
What is the purpose of Amazon ElastiCache write-through strategy?
Answer: Data is written to both cache and the database simultaneously
Write-through ensures cache and database stay synchronized by writing to both on every update, preventing stale reads.
Which AWS Glue component serves as a central metadata repository for all your data assets?
Answer: Glue Data Catalog
The AWS Glue Data Catalog is a persistent metadata store that holds table definitions, schemas, and connection information.
A developer needs sub-millisecond latency for a DynamoDB-backed leaderboard. Which service should be added?
Answer: Amazon DynamoDB Accelerator (DAX)
DAX is a fully managed, highly available in-memory cache for DynamoDB that delivers microsecond response times.
Which Amazon Kinesis service is used to load streaming data into AWS data stores like S3, Redshift, or OpenSearch?
Answer: Kinesis Data Firehose
Kinesis Data Firehose is the easiest way to reliably load streaming data into data lakes, data stores, and analytics services.