A healthcare company is building a semantic search feature that finds similar patient records based on clinical notes. The team has already generated embeddings for each note and needs to store them for similarity search. The application requires low-latency responses (<100 ms) and the team wants to use a managed AWS service that supports vector search natively. Which solution should the data engineer choose?

Use Amazon Aurora PostgreSQL with the pgvector extension and HNSW index

Store embeddings in Amazon S3 as Parquet files and query them with Amazon Athena

Use Amazon MemoryDB for Redis with the RedisSearch module

Store embeddings in Amazon DynamoDB and use a custom application to compute similarity

A gaming company runs a leaderboard feature that requires sub-millisecond read latency for the top 100 scores. The leaderboard is updated frequently by millions of players. The company wants a fully managed service that can handle this workload with minimal operational overhead. Which AWS service should the data engineer choose?

Amazon ElastiCache for Redis with sorted sets

A financial services company runs a customer-facing application that requires single-digit millisecond read and write latency for user session data. The data is accessed primarily by a partition key (user_id), and the company needs to scale to millions of users with no downtime. Which data store should the data engineer recommend?

Amazon DynamoDB with on-demand capacity mode

Amazon RDS for PostgreSQL with read replicas

Amazon Redshift with a single node cluster

Amazon ElastiCache for Redis with cluster mode enabled

AWSCertified Data Engineer - Associate

Domain 2Objective 1

Task 2.1: Choose a Data Store DEA-C01 Practice Questions (Page 1)

Part of the Content Domain 2: Data Store Management domain, which accounts for 26% of the DEA-C01 exam. AWS does not publish an official question count, but from its 130-minute exam (~50–85 total, ~13–22 in this domain), expect 3–6 from this objective — we provide 23 practice questions to prepare you well beyond it. (estimate)

23questions here

5free pages

8concepts

26%of the exam

Questions 1–5

1application · medium
A healthcare company is building a semantic search feature that finds similar patient records based on clinical notes. The team has already generated embeddings for each note and needs to store them for similarity search. The application requires low-latency responses (<100 ms) and the team wants to use a managed AWS service that supports vector search natively. Which solution should the data engineer choose?
Select an answer first
2application · medium
A financial analytics company runs complex queries that scan billions of rows and aggregate data across multiple dimensions. The queries are run by a small team of analysts and are not latency-sensitive. The company wants to minimize storage cost and is willing to accept longer query times. Which data store should the data engineer recommend?
Select an answer first
3application · medium
A gaming company runs a leaderboard feature that requires sub-millisecond read latency for the top 100 scores. The leaderboard is updated frequently by millions of players. The company wants a fully managed service that can handle this workload with minimal operational overhead. Which AWS service should the data engineer choose?
Select an answer first
4application · medium
A financial services company runs a customer-facing application that requires single-digit millisecond read and write latency for user session data. The data is accessed primarily by a partition key (user_id), and the company needs to scale to millions of users with no downtime. Which data store should the data engineer recommend?
Select an answer first
5foundation · easy
A company needs a low-latency, highly scalable key-value store for a real-time application with predictable access patterns. Which service is most cost-effective for this workload?
Select an answer first

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Task 2.1: Choose a Data Store DEA-C01 Practice Questions (Page 1)

Questions 1–5

A company needs a low-latency, highly scalable key-value store for a real-time application with predictable access patterns. Which service is most cost-effective for this workload?

Keep studying — Content Domain 2: Data Store Management