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Data-Engineer-Associate Exam Dumps : AWS Certified Data Engineer - Associate (DEA-C01)

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Amazon Web Services Data-Engineer-Associate Exam Dumps FAQs

Q. # 1: What is the Amazon Web Services Certified Data-Engineer-Associate Exam?

The Amazon Web Services Certified Data-Engineer-Associate Exam validates your skills and knowledge in core data-related AWS services, including data modeling, data lifecycle management, and ensuring data quality.

Q. # 2: Who should take the Amazon Web Services Data-Engineer-Associate Exam?

The Amazon Web Services Data-Engineer-Associate exam is ideal for data engineers with 2-3 years of experience and at least 1-2 years working with AWS services. It assesses your ability to design, develop, secure, and maintain data pipelines on AWS.

Q. # 3: What topics does the Amazon Web Services Data-Engineer-Associate Exam cover?

The Amazon Web Services Data-Engineer-Associate exam focuses on five core domains:

  • Data Ingestion & Transformation (25%)
  • Data Store Management (25%)
  • Data Operations & Support (25%)
  • Data Security and Governance (20%)

Q. # 4: How many questions are on the Amazon Web Services Certified Data-Engineer-Associate Exam?

The Amazon Web Services Certified Data-Engineer-Associate exam consists of 65 questions, which can be either multiple choice or multiple response.

Q. # 5: What is the exam duration for the Amazon Web Services Certified Data Engineer - Associate Exam?

The Amazon Web Services Data-Engineer-Associate exam duration is 130 minutes.

Q. # 6: What is the passing score for the AWS Certified Data-Engineer-Associate Exam?

The passing score for the Amazon Web Services Data-Engineer-Associate exam is 720.

Q. # 7: What is the difference between Amazon Web Services Data-Engineer-Associate and SOA-C02 Exams?

The AWS Certified Data-Engineer-Associate (DAS-C01) and the AWS Certified SysOps Administrator - Associate (SOA-C02) exams are designed for different roles and focus on different areas of AWS expertise:

  • AWS Certified Data-Engineer-Associate Exam (DAS-C01): The AWS Certified Data-Engineer-Associate (DAS-C01) Exam validates your ability to design data models, manage data life cycles, and ensure data quality using AWS services.

Q. # 8: How can CertsTopics help me prepare for the Amazon Web Services Data-Engineer-Associate Exam?

CertsTopics offers top-quality Data-Engineer-Associate Exam Dumps, Practice Tests, and PDF Questions and Answers specifically for the Amazon Web Services Data-Engineer-Associate Exam. Our Data-Engineer-Associate stduy materials are crafted by experts and regularly updated to reflect current exam content, ensuring a high success rate.

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

Question 1

A data engineer develops an AWS Glue Apache Spark ETL job to perform transformations on a dataset. When the data engineer runs the job, the job returns an error that reads, " No space left on device. "

The data engineer needs to identify the source of the error and provide a solution.

Which combinations of steps will meet this requirement MOST cost-effectively? (Select TWO.)

Options:

A.

Scale out the workers vertically to address data skewness.

B.

Use the Spark UI and AWS Glue metrics to monitor data skew in the Spark executors.

C.

Scale out the number of workers horizontally to address data skewness.

D.

Enable the --write-shuffle-files-to-s3 job parameter. Use the salting technique.

E.

Use error logs in Amazon CloudWatch to monitor data skew.

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Question 2

A data engineer is implementing model governance for machine learning (ML) workflows on AWS. The data engineer needs a solution that can track the complete lifecycle of the ML models, including data preparation, model training, and deployment stages. The solution must ensure reproducibility and audit compliance.

Options:

A.

Use Amazon SageMaker Debugger to capture metrics. Create associations between datasets and training jobs by monitoring training jobs.

B.

Use Amazon SageMaker ML Lineage Tracking to create associations between artifacts, training jobs, and datasets by recording metadata.

C.

Use Amazon SageMaker Model Monitor to create associations between artifacts and training jobs by tracking model performance.

D.

Use Amazon SageMaker Experiments to create associations between datasets and artifacts by tracking hyperparameters and metrics.

Question 3

A data engineer uses the AWS Glue Data Catalog to manage data lake metadata. The data engineer ' s extract, transform, and load (ETL) process creates new partitions in an Amazon S3 data lake throughout the day. The new partitions are not queryable through Amazon Athena until an AWS Glue crawler run finishes each night. The data engineer needs to make new partitions immediately available for querying.

Which solution will meet these requirements?

Options:

A.

Modify the ETL process to use the AWS Glue CreatePartition API call after creating each new partition in Amazon S3.

B.

Configure S3 Event Notifications to invoke an AWS Lambda function that copies new partition data to a separate cataloged S3 bucket.

C.

Use Amazon DynamoDB Streams to track partition changes and update the AWS Glue Data Catalog.

D.

Use the AWS Glue StartImportLabelsTaskRun API call to synchronize partitions on demand.