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在談到 Data-Engineer-Associate 最新考古題，很難忽視的是可靠性。我們是一個為考生提供準確的考試材料的專業網站，擁有多年的培訓經驗，Amazon Data-Engineer-Associate 題庫資料是個值得信賴的產品，我們的IT精英團隊不斷為廣大考生提供最新版的 Amazon Data-Engineer-Associate 認證考試培訓資料，我們的工作人員作出了巨大努力，以確保考生在 Data-Engineer-Associate 考試中總是取得好成績，可以肯定的是，Amazon Data-Engineer-Associate 學習指南是為你提供最實際的認證考試資料，值得信賴。

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購買後，立即下載 Data-Engineer-Associate 題庫 (AWS Certified Data Engineer - Associate (DEA-C01)): 成功付款後, 我們的體統將自動通過電子郵箱將您已購買的產品發送到您的郵箱。（如果在12小時內未收到，請聯繫我們，注意：不要忘記檢查您的垃圾郵件。）

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

1. A data engineer wants to orchestrate a set of extract, transform, and load (ETL) jobs that run on AWS. The ETL jobs contain tasks that must run Apache Spark jobs on Amazon EMR, make API calls to Salesforce, and load data into Amazon Redshift.
The ETL jobs need to handle failures and retries automatically. The data engineer needs to use Python to orchestrate the jobs.
Which service will meet these requirements?

A) Amazon EventBridge
B) AWS Glue
C) Amazon Managed Workflows for Apache Airflow (Amazon MWAA)
D) AWS Step Functions

2. A company uses AWS Key Management Service (AWS KMS) to encrypt an Amazon Redshift cluster. The company wants to configure a cross-Region snapshot of the Redshift cluster as part of disaster recovery (DR) strategy.
A data engineer needs to use the AWS CLI to create the cross-Region snapshot.
Which combination of steps will meet these requirements? (Select TWO.)

A) Create a KMS key and configure a snapshot copy grant in the source AWS Region.
B) Create a KMS key and configure a snapshot copy grant in the destination AWS Region.
C) Convert the cluster to a Multi-AZ deployment.
D) In the source AWS Region, enable snapshot copying. Specify the name of the snapshot copy grant that is created in the source AWS Region.
E) In the source AWS Region, enable snapshot copying. Specify the name of the snapshot copy grant that is created in the destination AWS Region.

3. A company uses Amazon Redshift as its data warehouse. Data encoding is applied to the existing tables of the data warehouse. A data engineer discovers that the compression encoding applied to some of the tables is not the best fit for the data.
The data engineer needs to improve the data encoding for the tables that have sub-optimal encoding.
Which solution will meet this requirement?

A) Run the VACUUM REINDEX command against the identified tables.
B) Run the ANALYZE command against the identified tables. Manually update the compression encoding of columns based on the output of the command.
C) Run the VACUUM RECLUSTER command against the identified tables.
D) Run the ANALYZE COMPRESSION command against the identified tables. Manually update the compression encoding of columns based on the output of the command.

4. A company maintains an Amazon Redshift provisioned cluster that the company uses for extract, transform, and load (ETL) operations to support critical analysis tasks. A sales team within the company maintains a Redshift cluster that the sales team uses for business intelligence (BI) tasks.
The sales team recently requested access to the data that is in the ETL Redshift cluster so the team can perform weekly summary analysis tasks. The sales team needs to join data from the ETL cluster with data that is in the sales team's BI cluster.
The company needs a solution that will share the ETL cluster data with the sales team without interrupting the critical analysis tasks. The solution must minimize usage of the computing resources of the ETL cluster.
Which solution will meet these requirements?

A) Unload a copy of the data from the ETL cluster to an Amazon S3 bucket every week. Create an Amazon Redshift Spectrum table based on the content of the ETL cluster.
B) Create database views based on the sales team's requirements. Grant the sales team direct access to the ETL cluster.
C) Set up the sales team Bl cluster as a consumer of the ETL cluster by using Redshift data sharing.
D) Create materialized views based on the sales team's requirements. Grant the sales team direct access to the ETL cluster.

5. A financial services company stores financial data in Amazon Redshift. A data engineer wants to run real- time queries on the financial data to support a web-based trading application. The data engineer wants to run the queries from within the trading application.
Which solution will meet these requirements with the LEAST operational overhead?

A) Establish WebSocket connections to Amazon Redshift.
B) Use the Amazon Redshift Data API.
C) Set up Java Database Connectivity (JDBC) connections to Amazon Redshift.
D) Store frequently accessed data in Amazon S3. Use Amazon S3 Select to run the queries.

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