AWS-DEA-C01 Exam: Absolutely Free Online Practice

Question 1
- A company stores daily records of the financial performance of investment portfolios in .csv format in an
  Amazon S3 bucket. A data engineer uses AWS Glue crawlers to crawl the S3 data.
  The data engineer must make the S3 data accessible daily in the AWS Glue Data Catalog.
  Which solution will meet these requirements?
  A :
  Create an IAM role that includes the AmazonS3FullAccess policy. Associate the role with the crawler. Specify the S3 bucket path of the source data as the crawler-s data store. Create a daily schedule to run the crawler. Configure the output destination to a new path in the existing S3 bucket.
  
  B :
  Create an IAM role that includes the AWSGlueServiceRole policy. Associate the role with the crawler. Specify the S3 bucket path of the source data as the crawler-s data store. Create a daily schedule to run the crawler. Specify a database name for the output.
  
  C :
  Create an IAM role that includes the AmazonS3FullAccess policy. Associate the role with the crawler. Specify the S3 bucket path of the source data as the crawler-s data store. Allocate data processing units (DPUs) to run the crawler every day. Specify a database name for the output.
  
  D :
  Create an IAM role that includes the AWSGlueServiceRole policy. Associate the role with the crawler. Specify the S3 bucket path of the source data as the crawler-s data store. Allocate data processing units (DPUs) to run the crawler every day. Configure the output destination to a new path in the existing S3 bucket.
  
  Answer: B
Question 2
- As a Cloud Data Engineer, you are tasked with troubleshooting a recurring issue in an AWS Glue job that is supposed to transform a large dataset. The job fails intermittently, with logs indicating memory errors. The dataset being processed is not unusually large, and similar jobs have run successfully in the past.
  Which of the following steps should you take first to resolve this issue?
  A : Check the script for inefficient transformations, such as unnecessary shuffles or large joins.
  
  B : Switch the ETL job to use G.2X instances instead of the standard instances.
  
  C : Increase the number of Data Processing Units (DPUs) allocated to the job.
  
  D : Configure the job to write intermediate results to Amazon S3 to free up memory.
  
  Answer: A
Question 3
- A company stores petabytes of data in thousands of Amazon S3 buckets in the S3 Standard storage class. The data supports analytics workloads that have unpredictable and variable data access patterns. The company does not access some data for months. However, the company must be able to retrieve all data within milliseconds. The company needs to optimize S3 storage costs. Which solution will meet these requirements with the LEAST operational overhead?
  
  A :
  Use S3 Storage Lens standard metrics to determine when to move objects to more cost-optimized storage classes. Create S3 Lifecycle policies for the S3 buckets to move objects to cost-optimized storage classes. Continue to refine the S3 Lifecycle policies in the future to optimize storage costs.
  
  B :
  Use S3 Storage Lens activity metrics to identify S3 buckets that the company accesses infrequently Configure S3 Lifecycle rules to move objects from S3 Standard to the S3 Standard-Infrequent Access (S3 Standard-IA) and S3 Glacier storage classes based on the age of the data.
  
  C : Use S3 Intelligent-Tiering. Activate the Deep Archive Access tier.
  
  D : Use S3 Intelligent-Tiering. Use the default access tier.
  
  Answer: D
Question 4
- A data engineer needs to join data from multiple sources to perform a one-time analysis job. The data is stored
  in Amazon DynamoDB, Amazon RDS, Amazon Redshift, and Amazon S3.
  Which solution will meet this requirement MOST cost-effectively?
  A :
  Use an Amazon EMR provisioned cluster to read from all sources. Use Apache Spark to join the data and perform the analysis.
  
  B :
  Copy the data from DynamoDB, Amazon RDS, and Amazon Redshift into Amazon S3. Run Amazon Athena queries directly on the S3 files.
  
  C : Use Amazon Athena Federated Query to join the data from all data sources.
  
  D :
  Use Redshift Spectrum to query data from DynamoDB, Amazon RDS, and Amazon S3 directly from Redshift.
  
  Answer: C
Question 5
- A Cloud Data Engineering team is managing a data lake built on Amazon S3. The data lake is continuously updated with new data while also being accessed for various analytics and reporting purposes. To safeguard against accidental deletion or overwriting of data and to ensure the ability to restore previous versions of data files, the team needs to implement an appropriate data protection strategy on S3.
  What should they prioritize to meet these requirements effectively?
  A : Use S3 Lifecycle policies to transition older, unused data to S3 Glacier, and enable MFA Delete on the bucket to prevent accidental data deletions.
  
  B : Enable versioning on the S3 buckets and periodically create and store snapshots of the entire data lake to a separate S3 bucket for backup purposes.
  
  C : Enable S3 versioning across all buckets in the data lake, allowing each object version to be preserved, retrieved, and restored if needed.
  
  D : Implement Amazon S3 Intelligent-Tiering on all objects in the data lake, ensuring that older versions of files are automatically moved to cost-effective storage tiers.
  
  Answer: C

Free Amazon AWS-DEA-C01 Exam Questions

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