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Amazon Data-Engineer-Associate Exam Syllabus Topics:

SectionWeightObjectives
Data Security and Governance18%- Implement data security controls
- Apply governance and compliance best practices
Data Operations and Support22%- Troubleshoot data workflow issues
- Monitor and maintain data pipelines
Data Ingestion and Transformation34%- Ingest and transform data using AWS services
- Build and manage data pipelines
Data Store Management26%- Optimize storage performance and cost
- Select appropriate data storage solutions

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Amazon AWS Certified Data Engineer - Associate (DEA-C01) Sample Questions (Q194-Q199):

NEW QUESTION # 194
Files from multiple data sources arrive in an Amazon S3 bucket on a regular basis. A data engineer wants to ingest new files into Amazon Redshift in near real time when the new files arrive in the S3 bucket.
Which solution will meet these requirements?

Answer: C

Explanation:
For near real-time processing of new files in S3,event-driven ingestionis optimal. S3 Event Notifications can triggerAWS Lambdato immediately load data into Amazon Redshift, eliminating latency associated with batch scheduling.
"Event-based triggers using S3 notifications and Lambda functions are effective for near real-time ingestion pipelines into Amazon Redshift."
-Ace the AWS Certified Data Engineer - Associate Certification - version 2 - apple.pdf Option C (Glue bookmarks) is best for batch jobs, and zero-ETL applies toAurora to Redshift, not S3.


NEW QUESTION # 195
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.)

Answer: A,C

Explanation:
To perform cross-Region snapshot copying of an encrypted Redshift cluster, AWS documentation and the exam study guide clearly outline two essential steps:
* You must create a snapshot copy grant in thedestination Region.This allows Amazon Redshift to encrypt the snapshots using the specified AWS KMS key.
* You must enable snapshot copying in thesource Regionand specify the name of the snapshot copy grant that was created in thedestination Region.
From the study guide:
"To enable cross-region copy of encrypted snapshots, you must create a snapshot copy grant in the destination Region and enable snapshot copying in the source Region by specifying the snapshot copy grant name."
-Ace the AWS Certified Data Engineer - Associate Certification - version 2 - apple.pdf OptionE(Multi-AZ deployment) is not applicable to Amazon Redshift, which does not support Multi-AZ configurations like Amazon RDS.


NEW QUESTION # 196
A data engineer is designing a new data lake architecture for a company. The data engineer plans to use Apache Iceberg tables and AWS Glue Data Catalog to achieve fast query performance and enhanced metadata handling. The data engineer needs to query historical data for trend analysis and optimize storage costs for a large volume of event data.
Which solution will meet these requirements with the LEAST development effort?

Answer: A

Explanation:
Amazon S3 Intelligent-Tiering is designed to optimize storage costs by automatically moving objects between access tiers based on access patterns. Since Apache Iceberg works with S3 storage, using Intelligent-Tiering provides cost-efficiency without the need for custom development or jobs.
* Option B improves performance but doesn't optimize cost automatically.
* Option C is not a real AWS Glue feature - Glue does not automatically optimize Iceberg storage.
* Option D requires custom development effort, which is contrary to the requirement.
"S3 Intelligent-Tiering is ideal for data lakes and analytics use cases that access data irregularly." Reference: AWS Documentation - S3 Intelligent-Tiering


NEW QUESTION # 197
A retail company needs to implement a solution to capture data updates from multiple Amazon Aurora MySQL databases. The company needs to make the updates available for analytics in near real time. The solution must be serverless and require minimal maintenance.
Which solution will meet these requirements with the LEAST operational overhead?

Answer: A

Explanation:
Comprehensive and Detailed Explanation (150-250 words)
Aurora zero-ETL integration with Amazon Redshift Serverless is specifically designed to provide near real- time analytics on Aurora transactional data without the need to build or manage data pipelines. This integration continuously replicates data changes from Aurora MySQL into Redshift Serverless automatically.
The solution is fully serverless, requires no infrastructure provisioning, and eliminates the need for schema conversion, replication tasks, or streaming frameworks. Data is kept in sync with low latency, making it immediately available for analytical queries in Redshift Serverless.
AWS DMS-based solutions require task configuration, monitoring, and maintenance. Amazon MSK with Debezium introduces significant operational complexity and is not serverless. Kinesis-based replication pipelines require additional services and ongoing operational management.
Aurora zero-ETL integration is the lowest-maintenance, highest-efficiency solution and is explicitly recommended by AWS for this use case.


NEW QUESTION # 198
A company currently uses a provisioned Amazon EMR cluster that includes general purpose Amazon EC2 instances. The EMR cluster uses EMR managed scaling between one to five task nodes for the company's long-running Apache Spark extract, transform, and load (ETL) job. The company runs the ETL job every day.
When the company runs the ETL job, the EMR cluster quickly scales up to five nodes. The EMR cluster often reaches maximum CPU usage, but the memory usage remains under 30%.
The company wants to modify the EMR cluster configuration to reduce the EMR costs to run the daily ETL job.
Which solution will meet these requirements MOST cost-effectively?

Answer: D


NEW QUESTION # 199
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