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Amazon Web Services Data-Engineer-Associate Exam With Confidence Using Practice Dumps

Exam Code:
Data-Engineer-Associate
Exam Name:
AWS Certified Data Engineer - Associate (DEA-C01)
Questions:
289
Last Updated:
Apr 10, 2026
Exam Status:
Stable
Amazon Web Services Data-Engineer-Associate

Data-Engineer-Associate: AWS Certified Data Engineer Exam 2025 Study Guide Pdf and Test Engine

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AWS Certified Data Engineer - Associate (DEA-C01) Questions and Answers

Question 1

A company aggregates high-frequency sensor telemetry into an Amazon S3 data lake. Each sensor stream emits structured records every hour. The records include metadata such as sensor category, unit ID, operational state, event timestamp, and site location. The data scales up to millions of records each day. The company runs complex queries each day to uncover performance insights specific to sensor categories.

Which solution will meet these requirements with the FASTEST query execution time?

Options:

A.

Persist the data in Apache ORC format. Partition the data by date. Sort the data by sensor category.

B.

Persist the data in CSV format. Partition the data by date. Sort the data by operational status.

C.

Persist the data in Parquet format. Partition the data by sensor category. Sort the data by date.

D.

Persist the data in CSV format. Partition the data by date. Sort the data by sensor category.

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Question 2

A company saves customer data to an Amazon S3 bucket. The company uses server-side encryption with AWS KMS keys (SSE-KMS) to encrypt the bucket. The dataset includes personally identifiable information (PII) such as social security numbers and account details.

Data that is tagged as PII must be masked before the company uses customer data for analysis. Some users must have secure access to the PII data during the preprocessing phase. The company needs a low-maintenance solution to mask and secure the PII data throughout the entire engineering pipeline.

Which combination of solutions will meet these requirements? (Select TWO.)

Options:

A.

Use AWS Glue DataBrew to perform extract, transform, and load (ETL) tasks that mask the PII data before analysis.

B.

Use Amazon GuardDuty to monitor access patterns for the PII data that is used in the engineering pipeline.

C.

Configure an Amazon Made discovery job for the S3 bucket.

D.

Use AWS Identity and Access Management (IAM) to manage permissions and to control access to the PII data.

E.

Write custom scripts in an application to mask the PII data and to control access.

Question 3

A company is migrating on-premises workloads to AWS. The company wants to reduce overall operational overhead. The company also wants to explore serverless options.

The company ' s current workloads use Apache Pig, Apache Oozie, Apache Spark, Apache Hbase, and Apache Flink. The on-premises workloads process petabytes of data in seconds. The company must maintain similar or better performance after the migration to AWS.

Which extract, transform, and load (ETL) service will meet these requirements?

Options:

A.

AWS Glue

B.

Amazon EMR

C.

AWS Lambda

D.

Amazon Redshift