Database Services Flashcards
7 cards from real CLF-C02 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 Database Services flashcards as text
Which AWS database service is best suited for storing and querying highly connected data, such as social network relationships?
Answer: Amazon Neptune
Amazon Neptune is a fully managed graph database service designed for highly connected datasets like social networks.
A company needs a fully managed in-memory caching service to reduce database load. Which AWS service should they use?
Answer: Amazon ElastiCache
Amazon ElastiCache is a fully managed in-memory caching service supporting Redis and Memcached to improve application performance.
Which feature of Amazon Aurora makes it different from standard MySQL or PostgreSQL?
Answer: It automatically replicates data across 3 Availability Zones with 6 copies
Aurora automatically replicates data six times across three Availability Zones, providing high availability and durability.
What is Amazon DynamoDB Accelerator (DAX) primarily used for?
Answer: Providing microsecond read latency for DynamoDB tables
DAX is an in-memory cache for DynamoDB that delivers microsecond response times for read-heavy workloads.
Which AWS service would you use to migrate an on-premises Oracle database to Amazon Aurora with minimal downtime?
Answer: AWS Database Migration Service (DMS)
AWS DMS enables continuous data replication from source to target databases, minimizing downtime during migration.
A startup needs a serverless database that scales automatically and charges only for actual usage. Which service fits best?
Answer: Amazon Aurora Serverless
Amazon Aurora Serverless automatically starts, scales, and shuts down based on application demand, charging only for consumed capacity.
Which AWS database service is designed specifically for time-series data such as IoT sensor readings?
Answer: Amazon Timestream
Amazon Timestream is a purpose-built time-series database for collecting and analyzing data that changes over time, like IoT metrics.