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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 company maintains a data warehouse in an on-premises Oracle database. The company wants to build a data lake on AWS. The company wants to load data warehouse tables into Amazon S3 and synchronize the tables with incremental data that arrives from the data warehouse every day.

Each table has a column that contains monotonically increasing values. The size of each table is less than 50 GB. The data warehouse tables are refreshed every night between 1 AM and 2 AM. A business intelligence team queries the tables between 10 AM and 8 PM every day.

Which solution will meet these requirements in the MOST operationally efficient way?

Options:

A.

Use an AWS Database Migration Service (AWS DMS) full load plus CDC job to load tables that contain monotonically increasing data columns from the on-premises data warehouse to Amazon S3. Use custom logic in AWS Glue to append the daily incremental data to a full-load copy that is in Amazon S3.

B.

Use an AWS Glue Java Database Connectivity (JDBC) connection. Configure a job bookmark for a column that contains monotonically increasing values. Write custom logic to append the daily incremental data to a full-load copy that is in Amazon S3.

C.

Use an AWS Database Migration Service (AWS DMS) full load migration to load the data warehouse tables into Amazon S3 every day Overwrite the previous day's full-load copy every day.

D.

Use AWS Glue to load a full copy of the data warehouse tables into Amazon S3 every day. Overwrite the previous day's full-load copy every day.

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Question 2

A financial company wants to use Amazon Athena to run on-demand SQL queries on a petabyte-scale dataset to support a business intelligence (BI) application. An AWS Glue job that runs during non-business hours updates the dataset once every day. The BI application has a standard data refresh frequency of 1 hour to comply with company policies.

A data engineer wants to cost optimize the company's use of Amazon Athena without adding any additional infrastructure costs.

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

Options:

A.

Configure an Amazon S3 Lifecycle policy to move data to the S3 Glacier Deep Archive storage class after 1 day

B.

Use the query result reuse feature of Amazon Athena for the SQL queries.

C.

Add an Amazon ElastiCache cluster between the Bl application and Athena.

D.

Change the format of the files that are in the dataset to Apache Parquet.

Question 3

A company is migrating a legacy application to an Amazon S3 based data lake. A data engineer reviewed data that is associated with the legacy application. The data engineer found that the legacy data contained some duplicate information.

The data engineer must identify and remove duplicate information from the legacy application data.

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

Options:

A.

Write a custom extract, transform, and load (ETL) job in Python. Use the DataFramedrop duplicatesf) function by importing the Pandas library to perform data deduplication.

B.

Write an AWS Glue extract, transform, and load (ETL) job. Use the FindMatches machine learning (ML) transform to transform the data to perform data deduplication.

C.

Write a custom extract, transform, and load (ETL) job in Python. Import the Python dedupe library. Use the dedupe library to perform data deduplication.

D.

Write an AWS Glue extract, transform, and load (ETL) job. Import the Python dedupe library. Use the dedupe library to perform data deduplication.