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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.

Q. # 9: Can CertsTopics Data-Engineer-Associate study materials be accessed on mobile devices?

Yes, CertsTopics provides mobile-friendly Data-Engineer-Associate PDFs and a responsive testing engine, enabling candidates to study and practice anytime, anywhere.

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

Question 1

A company stores CSV files in an Amazon S3 bucket. A data engineer needs to process the data in the CSV files and store the processed data in a new S3 bucket.

The process needs to rename a column, remove specific columns, ignore the second row of each file, create a new column based on the values of the first row of the data, and filter the results by a numeric value of a column.

Which solution will meet these requirements with the LEAST development effort?

Options:

A.

Use AWS Glue Python jobs to read and transform the CSV files.

B.

Use an AWS Glue custom crawler to read and transform the CSV files.

C.

Use an AWS Glue workflow to build a set of jobs to crawl and transform the CSV files.

D.

Use AWS Glue DataBrew recipes to read and transform the CSV files.

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Question 2

A company is planning to upgrade its Amazon Elastic Block Store (Amazon EBS) General Purpose SSD storage from gp2 to gp3. The company wants to prevent any interruptions in its Amazon EC2 instances that will cause data loss during the migration to the upgraded storage.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

A.

Create snapshots of the gp2 volumes. Create new gp3 volumes from the snapshots. Attach the new gp3 volumes to the EC2 instances.

B.

Create new gp3 volumes. Gradually transfer the data to the new gp3 volumes. When the transfer is complete, mount the new gp3 volumes to the EC2 instances to replace the gp2 volumes.

C.

Change the volume type of the existing gp2 volumes to gp3. Enter new values for volume size, IOPS, and throughput.

D.

Use AWS DataSync to create new gp3 volumes. Transfer the data from the original gp2 volumes to the new gp3 volumes.

Question 3

A retail company uses an Amazon Redshift data warehouse and an Amazon S3 bucket. The company ingests retail order data into the S3 bucket every day.

The company stores all order data at a single path within the S3 bucket. The data has more than 100 columns. The company ingests the order data from a third-party application that generates more than 30 files in CSV format every day. Each CSV file is between 50 and 70 MB in size.

The company uses Amazon Redshift Spectrum to run queries that select sets of columns. Users aggregate metrics based on daily orders. Recently, users have reported that the performance of the queries has degraded. A data engineer must resolve the performance issues for the queries.

Which combination of steps will meet this requirement with LEAST developmental effort? (Select TWO.)

Options:

A.

Configure the third-party application to create the files in a columnar format.

B.

Develop an AWS Glue ETL job to convert the multiple daily CSV files to one file for each day.

C.

Partition the order data in the S3 bucket based on order date.

D.

Configure the third-party application to create the files in JSON format.

E.

Load the JSON data into the Amazon Redshift table in a SUPER type column.