Amazon Data-Engineer-Associate - PDF電子當

Data-Engineer-Associate pdf
  • 考試編碼:Data-Engineer-Associate
  • 考試名稱:AWS Certified Data Engineer - Associate (DEA-C01)
  • 更新時間:2025-10-31
  • 問題數量:192 題
  • PDF價格: $59.98
  • 電子當(PDF)試用

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(通常一起購買,贈送線上版本)

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在線測試引擎支持 Windows / Mac / Android / iOS 等, 因爲它是基於Web瀏覽器的軟件。

  • 考試編碼:Data-Engineer-Associate
  • 考試名稱:AWS Certified Data Engineer - Associate (DEA-C01)
  • 更新時間:2025-10-31
  • 問題數量:192 題
  • PDF電子當 + 軟件版 + 在線測試引擎(免費送)
  • 套餐價格: $119.96  $79.98
  • 節省 50%

Amazon Data-Engineer-Associate - 軟件版

Data-Engineer-Associate Testing Engine
  • 考試編碼:Data-Engineer-Associate
  • 考試名稱:AWS Certified Data Engineer - Associate (DEA-C01)
  • 更新時間:2025-10-31
  • 問題數量:192 題
  • 軟件版價格: $59.98
  • 軟件版

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最新的 AWS Certified Data Engineer Data-Engineer-Associate 免費考試真題:

1. A data engineer is using an Apache Iceberg framework to build a data lake that contains 100 TB of data. The data engineer wants to run AWS Glue Apache Spark Jobs that use the Iceberg framework.
What combination of steps will meet these requirements? (Select TWO.)

A) Add the -job-bookmark-option: job-bookmark-enable parameter to an AWS Glue job.
B) Specify the path to a specific version of Iceberg by using the --extra-Jars job parameter. Set Iceberg as a value for the ~ datalake-formats job parameter.
C) Set the -enable-auto-scaling parameter to true.
D) Create a key named -conf for an AWS Glue job. Set Iceberg as a value for the --datalake-formats job parameter.
E) Set Iceberg as a value for the -datalake-formats job parameter.


2. A company uses Amazon S3 buckets, AWS Glue tables, and Amazon Athena as components of a data lake.
Recently, the company expanded its sales range to multiple new states. The company wants to introduce state names as a new partition to the existing S3 bucket, which is currently partitioned by date.
The company needs to ensure that additional partitions will not disrupt daily synchronization between the AWS Glue Data Catalog and the S3 buckets.
Which solution will meet these requirements with the LEAST operational overhead?

A) Use the AWS Glue API to manually update the Data Catalog.
B) Run a REFRESH TABLE command in Athena.
C) Run an MSCK REPAIR TABLE command in Athena.
D) Schedule an AWS Glue crawler to periodically update the Data Catalog.


3. A company stores customer records in Amazon S3. The company must not delete or modify the customer record data for 7 years after each record is created. The root user also must not have the ability to delete or modify the data.
A data engineer wants to use S3 Object Lock to secure the data.
Which solution will meet these requirements?

A) Set the retention period for individual objects in the S3 bucket to 7 years.
B) Enable compliance mode on the S3 bucket. Use a default retention period of 7 years.
C) Place a legal hold on individual objects in the S3 bucket. Set the retention period to 7 years.
D) Enable governance mode on the S3 bucket. Use a default retention period of 7 years.


4. A company uses Amazon Redshift as a data warehouse solution. One of the datasets that the company stores in Amazon Redshift contains data for a vendor.
Recently, the vendor asked the company to transfer the vendor's data into the vendor's Amazon S3 bucket once each week.
Which solution will meet this requirement?

A) Create an AWS Lambda function to connect to the Redshift data warehouse. Configure the Lambda function to use the Redshift COPY command to copy the required data to the vendor's S3 bucket on a schedule.
B) Configure Amazon Redshift Spectrum to use the vendor's S3 bucket as destination. Enable data querying in both directions.
C) Use the Amazon Redshift data sharing feature. Set the vendor's S3 bucket as the destination. Configure the source to be as a custom SQL query that selects the required data.
D) Create an AWS Glue job to connect to the Redshift data warehouse. Configure the AWS Glue job to use the Redshift UNLOAD command to load the required data to the vendor's S3 bucket on a schedule.


5. A company has five offices in different AWS Regions. Each office has its own human resources (HR) department that uses a unique IAM role. The company stores employee records in a data lake that is based on Amazon S3 storage.
A data engineering team needs to limit access to the records. Each HR department should be able to access records for only employees who are within the HR department's Region.
Which combination of steps should the data engineering team take to meet this requirement with the LEAST operational overhead? (Choose two.)

A) Create a separate S3 bucket for each Region. Configure an IAM policy to allow S3 access. Restrict access based on Region.
B) Enable fine-grained access control in AWS Lake Formation. Add a data filter for each Region.
C) Use data filters for each Region to register the S3 paths as data locations.
D) Register the S3 path as an AWS Lake Formation location.
E) Modify the IAM roles of the HR departments to add a data filter for each department's Region.


問題與答案:

問題 #1
答案: A,D
問題 #2
答案: D
問題 #3
答案: B
問題 #4
答案: D
問題 #5
答案: B,D

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