Data-Engineer-Associate Real Exam Questions and Answers FREE

Question 1

A company has multiple data sources stored in different formats on Amazon S3. They want to enable their data analysts to easily discover and access these datasets for analysis. The company needs an efficient way to catalog this data and make it searchable.

Which AWS service should the company use to automate the creation of a data catalog that makes their datasets in Amazon S3 easily discoverable for analysis?

A : Use AWS Lambda to scan S3 buckets and manually update an Amazon DynamoDB table as a data catalog.

B : Use Amazon Athena to manually query the S3 datasets and build a data catalog.

C : Configure Amazon RDS to create and maintain a relational database-based catalog of the S3 data.

D : Implement an AWS Glue Crawler to scan the data in S3 and automatically populate the AWS Glue Data Catalog.

Answer: D

Question 2

A Cloud Data Engineering Consultant is tasked with setting up a centralized logging solution for multiple AWS Lambda functions used by a client's serverless application. The application has critical real-time processing components, and the engineering consultant must ensure that logging is set up to capture and respond to error conditions rapidly. The logs must be analyzed for specific error patterns, and notifications must be sent out when these patterns are detected.

Which of the following steps should the Cloud Data Engineering Consultant take to establish a robust logging and notification system using Amazon CloudWatch Logs? (Select TWO)

A : Configure each Lambda function to automatically send execution logs to CloudWatch Logs and set up metric filters to match the specific error patterns.

B : Directly modify each Lambda function's code to include API calls that send logs to a dedicated CloudWatch Logs group.

C : Set up CloudWatch Alarms based on the metric filters, triggering notifications through Amazon Simple Notification Service (SNS) when error patterns are found.

D : Use Amazon Kinesis Data Firehose to collect logs from Lambda functions and then process them with Amazon CloudWatch for real-time analysis.

E : Implement a custom logging layer within the Lambda functions to batch and push logs asynchronously to an Amazon DynamoDB table for subsequent analysis and alerting.

Answer: A,C

Question 3

A Data Engineering Consultant is working on optimizing the CI/CD pipeline for a data processing application on AWS. The application's CI/CD pipeline utilizes AWS CodeBuild for its build and test processes. One of the requirements is to reduce build times and resource consumption. The application has conditional build scenarios, where certain builds require more compute resources than others based on the complexity and size of the data being processed.

Which feature of AWS CodeBuild should the consultant configure to optimize the build process while considering varying resource needs for different builds?

A : Use CodeBuild’s buildspec file to define different compute types for each build scenario, dynamically adjusting the environment based on the source code's requirements.

B : Configure CodeBuild to utilize On-Demand instances for regular builds and switch to Spot Instances for resource-intensive builds, optimizing costs and compute resource usage.

C : Implement build batching in CodeBuild to group source versions and run them as a single build, ensuring efficient use of resources for varying build scenarios.

D : Leverage the CodeBuild cache feature to store frequently used build artifacts and dependencies, reducing build times for similar build scenarios.

Answer: A

Question 4

A healthcare organization is looking to store highly confidential patient records in an Amazon S3 bucket. The storage solution must comply with regulatory standards that require not only encryption of data at rest but also stringent control and auditing over who can access the encryption keys. Since their IT team lacks the resources to manage encryption processes manually, they need an encryption method that is both secure and manageable within their AWS environment.

What encryption method should they use for their S3 bucket to ensure compliance with these standards?

A : Implement Server-Side Encryption with AWS Key Management Service (SSE-KMS) for encryption at rest and to maintain control over encryption keys

B : Enable Amazon S3 managed keys (SSE-S3) for server-side encryption to ensure data is encrypted at rest with Amazon-managed keys

C : Use Amazon S3 default encryption with an Amazon-managed key for automatic encryption of all stored data.

D : Opt for client-side encryption with a client-managed key for encrypting data before uploading it to the S3 bucket

Answer: A

Question 5

A company specializing in geospatial data analysis needs to regularly import, store, and query large sets of geospatial data. Their current setup with a traditional SQL database struggles with the performance of complex spatial queries and efficient storage. Their Data Engineering Team is considering moving to a cloud-based solution that can optimize the storage and querying of geospatial data, particularly for location-based queries and spatial analysis.

Which AWS solution would best meet their needs?

A : Implement Amazon Aurora with MySQL compatibility, utilizing its spatial indexing feature for efficient geospatial data querying and Amazon ElastiCache to improve read performance.

B : Use Amazon DynamoDB with geospatial library for indexing geospatial data and querying, coupled with Amazon S3 for long-term storage.

C : Migrate to Amazon RDS with PostgreSQL and PostGIS extension for enhanced geospatial capabilities and improved query performance.

D : Leverage Amazon Redshift with geospatial data support to handle large-scale spatial queries and integrate with Amazon QuickSight for data visualization.

Answer: C

Amazon Data-Engineer-Associate Exam Real Questions