Leading role in the market

We are a leading corporation in this line handling Data-Engineer-Associate study questions well with passing rate up to 98 and over percent, which is an unreachable goal for others. So our Data-Engineer-Associate preparation exam: AWS Certified Data Engineer - Associate (DEA-C01) enjoys good sales for the excellent quality and reasonable prices in recent years. And we are so sure that we can serve you even better than you can imagine. So we are looking forward to establishing a win-win relation with you by our Data-Engineer-Associate training engine. In our trade with merchants of various countries, we always adhere to the principles of mutual benefits rather than focusing solely on our interests.

Responsible and trust-able company

Having been handling in this line for more than ten years, we can assure you that our Data-Engineer-Associate study questions are of best quality and reasonable prices for your information. We offer free demos of the latest version covering all details of our products available at present as representatives. So practice materials come within the scope of our business activities. As for ourselves, we are a leading and old-established AWS Certified Data Engineer - Associate (DEA-C01) firm in a very excellent position to supply the most qualified practice materials with competitive prices and efficient obtainment. They can be obtained within five minutes. Our practice materials integrating scientific research of materials, production of high quality Data-Engineer-Associate training engine and considerate after-sales services have help us won a prominent position in the field of materials. We are pleased to inform you that we have engaged in this business for over ten years. Because of our past years'experience, we are well qualified to take care of your worried about the Data-Engineer-Associate preparation exam: AWS Certified Data Engineer - Associate (DEA-C01) and smooth your process with successful passing results.

Three versions

The three versions are PDF & Software & APP version for your information. Each one has its indispensable favor respectively. All Data-Engineer-Associate training engine can cater to each type of exam candidates'preferences. Our practice materials call for accuracy legibility and high quality, so practice materials are good sellers and worth recommendation for their excellent quality. If you require any further information about either our Data-Engineer-Associate preparation exam: AWS Certified Data Engineer - Associate (DEA-C01) or our corporation, please do not hesitate to let us know. High quality practice materials leave a good impression on the exam candidates and bring more business opportunities in the future.

You are in a quest for high quality practice materials like our Data-Engineer-Associate preparation exam: AWS Certified Data Engineer - Associate (DEA-C01). We avail ourselves of this opportunity to approach you to satisfy your needs. In order to acquaint you with our practice materials, we wish to introduce a responsible company dealing with exclusively in area of Data-Engineer-Associate training engine and it is our company which keeps taking care of the readers' requests, desires and feeling about usage of our Data-Engineer-Associate study questions in mind. All products are supported by professional experts and consultants dedicated to the quality of content for over ten years, you do not need to worry about the authority of our company.

Amazon AWS Certified Data Engineer - Associate (DEA-C01) Sample Questions:

1. A retail company stores order information in an Amazon Aurora table named Orders. The company needs to create operational reports from the Orders table with minimal latency. The Orders table contains billions of rows, and over 100,000 transactions can occur each second.
A marketing team needs to join the Orders data with an Amazon Redshift table named Campaigns in the marketing team ' s data warehouse. The operational Aurora database must not be affected.
Which solution will meet these requirements with the LEAST operational effort?

A) Use AWS Glue to replicate the Orders table to Amazon Redshift. Create a materialized view in Amazon Redshift to join with the Campaigns table.
B) Use AW5 Database Migration Service (AWS DMS) Serverless to replicate the Orders table to Amazon Redshift. Create a materialized view in Amazon Redshift to join with the Campaigns table.
C) Use the Aurora zero-ETL integration with Amazon Redshift to replicate the Orders table. Create a materialized view in Amazon Redshift to join with the Campaigns table.
D) Use federated queries to query the Orders table directly from Aurora. Create a materialized view in Amazon Redshift to join with the Campaigns table.

2. A company uses AWS Step Functions to orchestrate a data pipeline. The pipeline consists of Amazon EMR jobs that ingest data from data sources and store the data in an Amazon S3 bucket. The pipeline also includes EMR jobs that load the data to Amazon Redshift.
The company ' s cloud infrastructure team manually built a Step Functions state machine. The cloud infrastructure team launched an EMR cluster into a VPC to support the EMR jobs. However, the deployed Step Functions state machine is not able to run the EMR jobs.
Which combination of steps should the company take to identify the reason the Step Functions state machine is not able to run the EMR jobs? (Choose two.)

A) Query the flow logs for the VPC. Determine whether the traffic that originates from the EMR cluster can successfully reach the data providers. Determine whether any security group that might be attached to the Amazon EMR cluster allows connections to the data source servers on the informed ports.
B) Check the retry scenarios that the company configured for the EMR jobs. Increase the number of seconds in the interval between each EMR task. Validate that each fallback state has the appropriate catch for each decision state. Configure an Amazon Simple Notification Service (Amazon SNS) topic to store the error messages.
C) Use AWS CloudFormation to automate the Step Functions state machine deployment. Create a step to pause the state machine during the EMR jobs that fail. Configure the step to wait for a human user to send approval through an email message. Include details of the EMR task in the email message for further analysis.
D) Check for entries in Amazon CloudWatch for the newly created EMR cluster. Change the AWS Step Functions state machine code to use Amazon EMR on EKS. Change the IAM access policies and the security group configuration for the Step Functions state machine code to reflect inclusion of Amazon Elastic Kubernetes Service (Amazon EKS).
E) Verify that the Step Functions state machine code has all IAM permissions that are necessary to create and run the EMR jobs. Verify that the Step Functions state machine code also includes IAM permissions to access the Amazon S3 buckets that the EMR jobs use. Use Access Analyzer for S3 to check the S3 access properties.

3. A company needs to store and analyze a large amount of IoT sensor data. The company needs to retain the data indefinitely. The company analyzes the data in an Amazon Redshift cluster.
Which solution will meet these requirements MOST cost-effectively?

A) Store the data in an Amazon S3 bucket in JSON format. Configure query access through Amazon Redshift Spectrum.
B) Store the data in an Amazon S3 bucket in Apache Parquet format. Configure query access through Amazon Redshift Spectrum.
C) Store the data in an Amazon S3 bucket in Apache Parquet format. Configure auto-copy data ingestion from the S3 bucket to the Redshift cluster.
D) Store the data in an Amazon S3 bucket in JSON format. Configure auto-copy data ingestion from the S3 bucket to the Redshift cluster.

4. A technology company currently uses Amazon Kinesis Data Streams to collect log data in real time. The company wants to use Amazon Redshift for downstream real-time queries and to enrich the log data.
Which solution will ingest data into Amazon Redshift with the LEAST operational overhead?

A) Set up an Amazon Data Firehose delivery stream to send data to Amazon S3. Configure a Redshift provisioned cluster to load data every minute.
B) Set up an Amazon Data Firehose delivery stream to send data to a Redshift provisioned cluster table.
C) Use Amazon Redshift streaming ingestion from Kinesis Data Streams and to present data as a materialized view.
D) Configure Amazon Managed Service for Apache Flink (previously known as Amazon Kinesis Data Analytics) to send data directly to a Redshift provisioned cluster table.

5. A company's data processing pipeline uses AWS Glue jobs and AWS Glue Data Catalog. All AWS Glue jobs must run in a custom VPC inside a private subnet. The company uses a NAT gateway to support outbound connections.
A data engineer needs to use AWS Glue to migrate data from an on-premises PostgreSQL database to Amazon S3. There is no current network connection between AWS and the on-premises environment.
However, the data engineer has updated the on-premises database to allow traffic from the custom VPC.
Which solution will meet these requirements?

A) Create a JDBC connection in AWS Glue with the database JDBC URL, username, and password.
B) Create a JDBC connection in AWS Glue that uses a JDBC driver stored in Amazon S3. Retrieve the database URL, username, and password from AWS Secrets Manager.
C) Create a JDBC connection in AWS Glue with a security group that allows TCP traffic to and from itself.
D) Create a Simple Authentication and Security Layer (SASL) connection in AWS Glue to the on- premises database.

Solutions: