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

1. A company uses an Amazon Redshift cluster that runs on RA3 nodes. The company wants to scale read and write capacity to meet demand. A data engineer needs to identify a solution that will turn on concurrency scaling.
Which solution will meet this requirement?

A) Turn on concurrency scaling in workload management (WLM) for Redshift Serverless workgroups.
B) Turn on concurrency scaling for the daily usage quota for the Redshift cluster.
C) Turn on concurrency scaling in the settings during the creation of and new Redshift cluster.
D) Turn on concurrency scaling at the workload management (WLM) queue level in the Redshift cluster.

2. A company implements a data mesh that has a central governance account. The company needs to catalog all data in the governance account. The governance account uses AWS Lake Formation to centrally share data and grant access permissions.
The company has created a new data product that includes a group of Amazon Redshift Serverless tables. A data engineer needs to share the data product with a marketing team. The marketing team must have access to only a subset of columns. The data engineer needs to share the same data product with a compliance team. The compliance team must have access to a different subset of columns than the marketing team needs access to.
Which combination of steps should the data engineer take to meet these requirements? (Select TWO.)

A) Create an Amazon Redshift data than that includes the tables that need to be shared.
B) Share the Amazon Redshift data share to the Lake Formation catalog in the governance account.
C) Share the Amazon Redshift data share to the Amazon Redshift Serverless workgroup in the marketing team's account.
D) Create views of the tables that need to be shared. Include only the required columns.
E) Create an Amazon Redshift managed VPC endpoint in the marketing team's account. Grant the marketing team access to the views.

3. A company's data engineer needs to optimize the performance of table SQL queries. The company stores data in an Amazon Redshift cluster. The data engineer cannot increase the size of the cluster because of budget constraints.
The company stores the data in multiple tables and loads the data by using the EVEN distribution style. Some tables are hundreds of gigabytes in size. Other tables are less than 10 MB in size.
Which solution will meet these requirements?

A) Use the ALL distribution style for large tables. Specify primary and foreign keys for all tables.
B) Use the ALL distribution style for rarely updated small tables. Specify primary and foreign keys for all tables.
C) Specify a combination of distribution, sort, and partition keys for all tables.
D) Keep using the EVEN distribution style for all tables. Specify primary and foreign keys for all tables.

4. A data engineer needs to onboard a new data producer into AWS. The data producer needs to migrate data products to AWS.
The data producer maintains many data pipelines that support a business application. Each pipeline must have service accounts and their corresponding credentials. The data engineer must establish a secure connection from the data producer's on-premises data center to AWS. The data engineer must not use the public internet to transfer data from an on-premises data center to AWS.
Which solution will meet these requirements?

A) Create a security group in a public subnet. Configure the security group to allow only connections from the CIDR blocks that correspond to the data producer. Create Amazon S3 buckets than contain presigned URLS that have one-day expiration dates.
B) Instruct the new data producer to create Amazon Machine Images (AMIs) on Amazon Elastic Container Service (Amazon ECS) to store the code base of the application. Create security groups in a public subnet that allow connections only to the on-premises data center.
C) Create an AWS Direct Connect connection to the on-premises data center. Store the service account credentials in AWS Secrets manager.
D) Create an AWS Direct Connect connection to the on-premises data center. Store the application keys in AWS Secrets Manager. Create Amazon S3 buckets that contain resigned URLS that have one-day expiration dates.

5. A company is planning to migrate on-premises Apache Hadoop clusters to Amazon EMR. The company also needs to migrate a data catalog into a persistent storage solution.
The company currently stores the data catalog in an on-premises Apache Hive metastore on the Hadoop clusters. The company requires a serverless solution to migrate the data catalog.
Which solution will meet these requirements MOST cost-effectively?

A) Configure a Hive metastore in Amazon EMR. Migrate the existing on-premises Hive metastore into Amazon EMR. Use AWS Glue Data Catalog to store the company's data catalog as an external data catalog.
B) Use AWS Database Migration Service (AWS DMS) to migrate the Hive metastore into Amazon S3. Configure AWS Glue Data Catalog to scan Amazon S3 to produce the data catalog.
C) Configure an external Hive metastore in Amazon EMR. Migrate the existing on-premises Hive metastore into Amazon EMR. Use Amazon Aurora MySQL to store the company's data catalog.
D) Configure a new Hive metastore in Amazon EMR. Migrate the existing on-premises Hive metastore into Amazon EMR. Use the new metastore as the company's data catalog.

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