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AWS Certified Data Engineer – Associate (DEA-C01)

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About this Exam

Prepare with the AWS Certified Data Engineer – Associate (DEA-C01) practice quiz. This question bank includes 65 questions covering data, primary, company, schema, and team. Use it to review important concepts, identify knowledge gaps, and build confidence for the related exam, course, or assessment.

Sample Questions

Question 1
A data engineering team is building a data lake on a major cloud platform. The primary requirement is to store massive volumes of raw, semi-structured (JSON logs) and unstructured (images, videos) data in its native format. Which cloud storage solution is most appropriate for the foundational layer of this data lake?
A managed relational database (e.g., Cloud SQL, RDS)
Block Storage (e.g., Amazon EBS, Google Persistent Disk)
Object Storage (e.g., Amazon S3, Google Cloud Storage, Azure Blob Storage)
An in-memory cache (e.g., Redis, Memcached)
Question 2
Modern cloud data warehouses like Snowflake, BigQuery, and Redshift are often designed with an architecture that separates two key functions to allow for independent scaling and cost management. Which two functions are these?
Data backup and data recovery
Storage and compute
User authentication and query optimization
Data ingestion and data transformation
Question 3
A fast-growing e-commerce company is designing the backend for its product catalog. The system must handle a high volume of read requests with very low latency. Product attributes vary significantly between categories, so a flexible schema is essential. Which type of cloud data store is the best fit for this use case?
A data warehouse (e.g., BigQuery, Redshift)
An object storage service (e.g., Amazon S3, GCS)
A relational database (e.g., Cloud SQL, RDS)
A document-oriented NoSQL database (e.g., MongoDB Atlas, Firestore)
Question 4
Which of the following statements most accurately describes the primary difference between a data lake and a data warehouse in terms of data structure?
A data lake uses a "schema-on-write" approach, while a data warehouse uses "schema-on-read".
A data lake stores raw data in its native format, applying structure during analysis ("schema-on-read").
A data warehouse stores data in a normalized form (3NF), while a data lake uses a denormalized star schema.
A data lake stores only unstructured data, while a data warehouse stores only structured data.
Question 5
A financial services company is required by law to retain transaction logs for seven years. For the first 90 days, the logs are frequently accessed for reporting. After 90 days, access becomes rare, but the data must be retrievable. To optimize storage costs, which strategy should a data engineer implement using cloud object storage?
Compress the logs after 90 days but store them in the same standard storage class.
Store all data in a standard, high-availability storage class for the entire seven years.
Move the data to a managed relational database after 90 days for long-term storage.
Implement a lifecycle policy to transition data from a standard access tier to an archival tier after 90 days.

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Additional Information

AWS Certified Data Engineer – Associate (DEA-C01)

This practice set contains 65 questions from the matching question bank and focuses on data, primary, company, schema, and team. Work through each question carefully, review the provided solutions, and revisit topics that need more study before your next attempt.

This is an independent study resource intended for practice and review; it is not an official examination or an endorsement by any organization named in the title.

Frequently Asked Questions

This quiz contains a total of 65 practice questions carefully selected to test your knowledge on this subject.
Yes, you will have exactly 0 minutes to complete the exam. A countdown timer will be visible once you start.
Yes, you can retake this practice test as many times as you need. The questions and options may be randomized on subsequent attempts to ensure comprehensive learning.

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