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Amazon Data-Engineer-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Data Store Management	26%	- Design data models 1. Partitioning and indexing strategies 2. Schema design 3. Normalization and denormalization - Understand data cataloging 1. Schema evolution 2. AWS Glue Data Catalog 3. Data discovery and classification - Manage data lifecycle 1. Data retention policies 2. Data archiving 3. Amazon S3 storage classes - Choose a data store 1. Access and storage patterns 2. Data lakes vs. data warehouses 3. Amazon S3, Amazon RDS, Amazon DynamoDB, Amazon Redshift 4. Data characteristics (structured, semi-structured, unstructured)
Data Operations and Support	22%	- Monitor data pipelines 1. Amazon CloudWatch 2. AWS CloudTrail 3. Logging and metrics - Manage and troubleshoot data processes 1. Performance tuning 2. Cost optimization 3. Debugging failed jobs - Automate data pipelines 1. Scheduling jobs 2. Event-driven triggers 3. AWS Lambda triggers
Data Security and Governance	18%	- Apply authentication and authorization 1. Amazon S3 bucket policies 2. Service control policies (SCPs) 3. AWS IAM policies and roles - Ensure data encryption 1. AWS KMS 2. Encryption at rest and in transit - Implement data quality checks 1. Data validation 2. AWS Glue DataBrew - Manage data privacy and compliance 1. AWS Lake Formation permissions 2. Data masking and tokenization 3. PII data handling
Data Ingestion and Transformation	34%	- Apply programming concepts 1. SQL, Python, Scala 2. Infrastructure as Code (IaC) 3. Version control - Orchestrate data pipelines 1. Event-driven architectures 2. AWS Glue Workflows 3. Amazon Managed Workflows for Apache Airflow (MWAA) 4. AWS Step Functions - Perform data ingestion 1. Throughput and latency characteristics for AWS services 2. Batch data ingestion (scheduled ingestion, event-driven ingestion) 3. Streaming data ingestion 4. Data ingestion patterns (frequency and data history) 5. Replayability of data - Transform and process data 1. Data partitioning and compression 2. Batch and stream processing 3. Data transformation services (AWS Glue, Amazon EMR, AWS Lambda) 4. ETL/ELT patterns

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Amazon AWS Certified Data Engineer - Associate (DEA-C01) Sample Questions (Q280-Q285):

NEW QUESTION # 280
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. Enable governance mode on the S3 bucket. Use a default retention period of 7 years.
D. Place a legal hold on individual objects in the S3 bucket. Set the retention period to 7 years.

Answer: B

Explanation:
The company wants to ensure that no customer records are deleted or modified for 7 years, and even the root user should not have the ability to change the data. S3 Object Lock in Compliance Mode is the correct solution for this scenario.
Option B: Enable compliance mode on the S3 bucket. Use a default retention period of 7 years.
In Compliance Mode, even the root user cannot delete or modify locked objects during the retention period. This ensures that the data is protected for the entire 7-year duration as required. Compliance mode is stricter than governance mode and prevents all forms of alteration, even by privileged users.
Option A (Governance Mode) still allows certain privileged users (like the root user) to bypass the lock, which does not meet the company's requirement. Option C (legal hold) and Option D (setting retention per object) do not fully address the requirement to block root user modifications.
Reference:
Amazon S3 Object Lock Documentation

NEW QUESTION # 281
A data engineer needs to run a data transformation job whenever a user adds a file to an Amazon S3 bucket.
The job will run for less than 1 minute. The job must send the output through an email message to the data engineer. The data engineer expects users to add one file every hour of the day.
Which solution will meet these requirements in the MOST operationally efficient way?

A. Deploy an Amazon EMR cluster. Use EMR File System (EMRFS) to access the files in the S3 bucket.
Run transformation code on a schedule to generate the output to a second S3 bucket. Create an Amazon Simple Notification Service (Amazon SNS) topic. Configure Amazon S3 Event Notifications to notify the topic when a new object is created.
B. Create an AWS Lambda function to transform the data. Use Amazon S3 Event Notifications to invoke the Lambda function when a new object is created. Publish the output to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the data engineer's email account to the topic.
C. Create a small Amazon EC2 instance that polls the S3 bucket for new files. Run transformation code on a schedule to generate the output. Use operating system commands to send email messages.
D. Run an Amazon Elastic Container Service (Amazon ECS) task to poll the S3 bucket for new files. Run transformation code on a schedule to generate the output. Use operating system commands to send email messages.

Answer: B

NEW QUESTION # 282
A company stores sensitive transaction data in an Amazon S3 bucket. A data engineer must implement controls to prevent accidental deletions.

A. Set up AWS Config remediation actions to prevent users from deleting S3 objects.
B. Configure an S3 bucket policy rule that denies the creation of S3 delete markers.
C. Create an S3 Lifecycle rule that moves deleted files to S3 Glacier Deep Archive.
D. Enable versioning on the S3 bucket and configure MFA delete.

Answer: D

Explanation:
Versioning with MFA Delete protects against accidental or malicious deletions by requiring multi-factor authentication to permanently remove objects or versions.
"To protect data from accidental deletion, enable S3 Versioning and MFA Delete, which requires MFA for object deletions and prevents unintentional loss."
- Ace the AWS Certified Data Engineer - Associate Certification - version 2 - apple.pdf This is the AWS best practice for securing critical S3 data.

NEW QUESTION # 283
A company uses Amazon DataZone as a data governance and business catalog solution. The company stores data in an Amazon S3 data lake. The company uses AWS Glue with an AWS Glue Data Catalog.
A data engineer needs to publish AWS Glue Data Quality scores to the Amazon DataZone portal.
Which solution will meet this requirement?

A. Create a data quality ruleset with Data Quality Definition Language (DQDL) rules that apply to a specific AWS Glue table. Schedule the ruleset to run daily. Configure the Amazon DataZone project to have an AWS Glue data source. Enable the data quality configuration for the data source.
B. Configure AWS Glue ETL jobs to use an Evaluate Data Quality transform. Define a data quality ruleset inside the jobs. Configure the Amazon DataZone project to have an AWS Glue data source. Enable the data quality configuration for the data source.
C. Configure AWS Glue ETL jobs to use an Evaluate Data Quality transform. Define a data quality ruleset inside the jobs. Configure the Amazon DataZone project to have an Amazon Redshift data source.Enable the data quality configuration for the data source.
D. Create a data quality ruleset with Data Quality Definition Language (DQDL) rules that apply to a specific AWS Glue table. Schedule the ruleset to run daily. Configure the Amazon DataZone project to have an Amazon Redshift data source. Enable the data quality configuration for the data source.

Answer: A

Explanation:
Publishing AWS Glue data quality scores to Amazon DataZone requires creating aDQDL ruleset, scheduling it to run regularly, and then linking the corresponding AWS Glue table as a data source in the DataZone project. The setup ensures that data quality scores from Glue are correctly published and accessible within Amazon DataZone:
"You can define DQDL rulesets for Glue tables and publish the data quality results to DataZone when the project is configured with an AWS Glue data source and the rulesets are scheduled."
-Ace the AWS Certified Data Engineer - Associate Certification - version 2 - apple.pdf OptionCfollows the expected flow without unnecessary complexity and aligns perfectly with theintegration flow supported by AWS.

NEW QUESTION # 284
A company has a data processing pipeline that includes several dozen steps. The data processing pipeline needs to send alerts in real time when a step fails or succeeds. The data processing pipeline uses a combination of Amazon S3 buckets, AWS Lambda functions, and AWS Step Functions state machines.
A data engineer needs to create a solution to monitor the entire pipeline.
Which solution will meet these requirements?

A. Use AWS CloudTrail to send a message to an Amazon Simple Notification Service (Amazon SNS) topic that sends notifications when a state machine fails to run or succeeds to run.
B. Configure the Step Functions state machines to store notifications in an Amazon S3 bucket when the state machines finish running. Enable S3 event notifications on the S3 bucket.
C. Configure the AWS Lambda functions to store notifications in an Amazon S3 bucket when the state machines finish running. Enable S3 event notifications on the S3 bucket.
D. Configure an Amazon EventBridge rule to react when the execution status of a state machine changes.Configure the rule to send a message to an Amazon Simple Notification Service (Amazon SNS) topic that sends notifications.

Answer: D

Explanation:
AWS Step Functions natively emitsstate change eventstoAmazon EventBridge, which can trigger an Amazon SNS notification. This is the most direct and real-time way to alert on success/failure without relying on custom logging or polling.
"Step Functions automatically emits status changes that EventBridge can capture to trigger alerts or workflows. Use EventBridge to invoke an SNS topic for real-time alerts on job status."
-Ace the AWS Certified Data Engineer - Associate Certification - version 2 - apple.pdf This provides real-time alerting and the least operational overhead.

NEW QUESTION # 285
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