AWS Data Engineer Associate Exam (DEA-C01) Practice Test 7

Which of the following strategies would be the most effective in optimizing costs related to the Athena queries?

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The files are expected to arrive at a very high rate, and there are concerns about the potential for throttling and the need to handle spikes in upload volume without losing any data. The system should also be able to scale automatically and provide a way to retry processing in case of failures.
Given these requirements, which of the following approaches should the Data Engineer implement to ensure efficient, reliable, and scalable processing of the uploaded files?

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SELECT product_name, sum(price)
FROM product_table
WHERE year = 2023
GROUP BY product_name
However, the query does not return any results. What could be the reason for this issue?

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These applications are diverse, running on different platforms and languages, and the team requires a simple, scalable, and secure way to execute these queries without managing database connections. They also need the ability to retrieve query results asynchronously.
Which Amazon Redshift feature should the team use to meet these requirements most effectively?

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To ensure secure and efficient log delivery between accounts, where should the Kinesis Data Stream be deployed and what security considerations should be taken into account?

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The relevant column for city names in the table is labeled ‘city‘. Which SQL query should the data engineer use to accurately fetch this data in accordance with the specified criteria?

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Which AWS service should the company use to acquire third-party data sets seamlessly and incorporate them into their analytics workflows?

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What initial step should the team take to begin troubleshooting these performance issues?

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What is the most efficient way to accomplish this without significant data transformation or migration?

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Which Redshift configuration should they consider to meet these requirements of adaptability and ease of management?

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Which variant of the Redshift VACUUM command should they use to enhance their query performance while maintaining their current dataset intact?

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What AWS service should they consider for a comprehensive solution that accommodates their current processing paradigms?

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The team is familiar with Spark‘s data processing framework and wants to integrate this with their existing Athena setup.
What feature in Athena should they use to enable and efficiently work with Apache Spark for their data analytics needs?

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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)

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Which configuration should they use to best meet these requirements?

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The team seeks a solution that offers seamless integration with their pipeline, ensuring that these stages are orchestrated efficiently with dependencies and error handling
Which AWS service should they use to orchestrate this ETL workflow with the LEAST operational overhead?

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Which approach should the team take to meet these security and governance requirements while designing the schema in Lake Formation?

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Which AWS service and feature should they use to meet these requirements?

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What is the best approach to manage and monitor Athena query costs for different departments while maintaining effective cost control?

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Which combination of methods should the consultant recommend to perform these operations effectively? (Select TWO)

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Inbound Rules:
HTTP (Port 80) from source 0.0.0.0/0
SSH (Port 22) from source 10.0.1.0/24
Outbound Rules:
All traffic (All Ports) to destination 0.0.0.0/0
However, external data analysts outside the company‘s internal network are unable to access the application‘s web interface. What could be causing this access issue?

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Which combination of steps would meet their requirements with the LEAST operational overhead and costs (SELECT TWO)?

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Which of the following options is the most likely reason for this error?

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Which of the following data optimization techniques are according to best practices to enhance the query performance when using Athena (SELECT TWO)?

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What AWS Glue ETL transformation should the team use to convert the rows representing regional sales figures into columns for each product?

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What approach should they adopt to meet this requirement without the need for significant changes to their query infrastructure?

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The team is looking for a solution that enables them to execute these queries programmatically while minimizing the overhead of result set management, such as dealing with large result sets or paginating through results.
What approach should the team take to improve their query execution and result set management process?

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Which AWS service should the company use to enable PII redaction in response to S3 read requests from different users?

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Which of the following steps allows you to move the required key metrics data to S3 for further processing and analysis with the LEAST development time?

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Which combination of steps would satisfy the engineer‘s requirements with the LEAST operational overhead (SELECT TWO)?

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Which AWS service is most suitable for achieving seamless integration and data flow between their SaaS applications and AWS with LEAST operational overhead?

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What approach should they use to efficiently and directly execute these types of queries?

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Which Redshift feature should they consider implementing to address this issue?

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Which of the following approaches should the administrator take?

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Which approach should they take to establish effective data quality monitoring and enforcement using DataBrew?

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What is an important consideration when enforcing workgroup-wide settings in Athena?

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Which combination of AWS services should you implement to ensure that you can dynamically track application metrics and receive immediate alerts when specific performance thresholds are breached? (Select TWO)

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Considering these requirements, which service should the team use for storing and managing these configurations and parameters?

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The engineer is looking for a system view that not only highlights these issues but also offers recommendations for optimization.
Which Redshift system view should be used for this purpose?

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Which AWS service should the team use for the most effective orchestration of these data processing workflows?

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Which distribution style within their data warehouse solution, specifically Amazon Redshift, would be best suited for this purpose?

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What is the simplest and most effective way to couple their Python script with API Gateway for request processing?

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To enable this securely, which of the following approaches should the consultant recommend for setting up IAM roles and permissions?

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Which of the following AWS service combinations would best fulfill these requirements?

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What command should they use to update the Athena table and make the new partitions queryable?

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What are the key considerations they should evaluate in making this decision?

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Which type of state should be used in the AWS Step Functions state machine to achieve this conditional routing?

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What is the most efficient and transactionally consistent approach for applying these updates?

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What should the team do to resolve this issue and successfully run the Glue ETL job?

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What is the approach with the LEAST operational overhead?

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How should you proceed to ensure the RDS instances remain accessible only by the designated application servers while enhancing the overall security posture?

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What approach should they consider to efficiently perform these real-time, integrated queries?

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Assuming that the VPC endpoint and network configurations are correctly set up, what is a likely reason for this access issue?

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What is the most effective strategy for scaling their DynamoDB capacity to align with their workload patterns, while ensuring the least operational overhead?

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Given these requirements, what is the most cost-effective AWS Glue setting the team should choose to optimize their job configuration?

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What approach should the administrator take to change the EBS volume type without incurring downtime?

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Which of the following instance types would be the optimal choice for their EMR workloads?

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

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

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