Processing – Part A
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Question 1 of 40
1. Question
A data analytics team is using Amazon EMR to run Apache Spark jobs to process large datasets. They want to deploy a monitoring solution to track and troubleshoot issues in real-time. Which AWS service would be the best fit for this scenario?
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Question 2 of 40
2. Question
A data analytics team is using AWS Glue to run ETL jobs on a daily basis. They want to deploy a logging and monitoring solution to audit and trace the data processing activities. Which AWS service would be the best fit for this scenario?
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Question 3 of 40
3. Question
You are designing a data processing solution for a healthcare company that requires high availability and fault tolerance. You need to ensure that the system can recover from processing failures without data loss. Which AWS service should you use for this purpose?
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Question 4 of 40
4. Question
You are tasked with designing a data processing solution on AWS for a financial institution. You need to ensure that the system can recover from processing failures in a timely manner. Which AWS service should you use for this purpose?
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Question 5 of 40
5. Question
Which AWS service can be used to automate the creation of machine learning workflows for data processing solutions?
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Question 6 of 40
6. Question
Which AWS service can be used to automate the deployment and scaling of containerized applications for data processing solutions?
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Question 7 of 40
7. Question
Which of the following tools can be used to aggregate and enrich data for downstream consumption in a batch processing data analytics solution?
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Question 8 of 40
8. Question
Which of the following services can be used to aggregate and enrich data in real-time for downstream consumption in a data analytics solution?
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Question 9 of 40
9. Question
You are designing an AWS data analytics solution that requires a large number of data transformations. The solution needs to be highly scalable and fault-tolerant, and you want to minimize the amount of custom code that you need to write. Which AWS service can you use to create and manage the data transformation workflow?
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Question 10 of 40
10. Question
You need to design an AWS data analytics solution that performs a series of data transformations before loading data into Amazon Redshift for analysis. The solution needs to be highly scalable and resilient. Which AWS service can you use to create and orchestrate the data transformation workflow?
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Question 11 of 40
11. Question
What AWS service can be used to optimize the cost of processing large amounts of data by reducing the amount of data that needs to be processed?
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Question 12 of 40
12. Question
What AWS service can be used to optimize the cost of processing data stored in Amazon S3 by automatically moving infrequently accessed data to a lower-cost storage class?
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Question 13 of 40
13. Question
Which mechanism can be used to replicate Amazon S3 objects between regions for disaster recovery purposes?
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Question 14 of 40
14. Question
Which mechanism can be used to automatically scale an Amazon EMR cluster based on workload demands?
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Question 15 of 40
15. Question
Which ETL technique is appropriate for processing real-time streaming data and integrating with other AWS services?
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Question 16 of 40
16. Question
Which ETL technique is appropriate for processing large volumes of data and optimizing costs on AWS?
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Question 17 of 40
17. Question
A company wants to process its large amounts of data in real-time and use machine learning to analyze the data. They require a solution that can scale automatically, has high availability, and provides real-time analytics capabilities. Which AWS service would best fit their requirements?
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Question 18 of 40
18. Question
A data analytics team is planning to process large amounts of data in a scalable and cost-effective way. They need a solution that can handle both batch and real-time processing, and provides automatic scaling and fault tolerance. Which AWS service would best fit their requirements?
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Question 19 of 40
19. Question
You are tasked with processing a large amount of data that is stored in a database on Amazon RDS. The data needs to be processed quickly and efficiently, and the processing steps are dependent on each other. Which AWS service would be most appropriate to meet these performance and orchestration needs?
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Question 20 of 40
20. Question
You are working on a project that requires processing large amounts of data in a short amount of time. The data is stored in Amazon S3 and needs to be transformed before being loaded into a data warehouse. Which AWS service would be most appropriate to meet these performance and orchestration needs?
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Question 21 of 40
21. Question
You are working on a project that involves migrating data from an on-premises data warehouse to an Amazon Redshift cluster. Which AWS service would be most appropriate for this use case?
A. AWS DMSCorrectIncorrect -
Question 22 of 40
22. Question
You are designing a data processing solution that involves collecting streaming data from various sources and storing it in a central location for further analysis. Which AWS service would be most appropriate for this use case?
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Question 23 of 40
23. Question
What AWS service can be used to create and manage data pipelines that automate the movement and transformation of data between different data stores?
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Question 24 of 40
24. Question
What is a suitable AWS service for processing streaming data with the ability to preprocess, filter, and transform data before it is stored in a data store or consumed by an application?
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Question 25 of 40
25. Question
Which AWS service is best suited for performing data cleansing and normalization on large datasets that are stored in an S3 bucket?
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Question 26 of 40
26. Question
Which AWS service is best suited for performing data deduplication and record linking on a large dataset that is stored in an RDS instance?
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Question 27 of 40
27. Question
Which of the following data sources would be the best choice for real-time data processing?
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Question 28 of 40
28. Question
Which of the following data targets would be the best choice for data that needs to be accessed quickly and frequently?
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Question 29 of 40
29. Question
Which of the following services would be the best choice for this requirement?
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Question 30 of 40
30. Question
A company needs to process data in real-time and respond to events immediately. Which of the following services would be the best choice for this requirement?
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Question 31 of 40
31. Question
Which AWS service is best suited for cost-effective and scalable stream processing of real-time data from thousands of sources?
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Question 32 of 40
32. Question
Which AWS service is best suited for processing large amounts of data in a cost-effective and scalable way while providing high availability and durability?
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Question 33 of 40
33. Question
You are designing a data analytics solution that involves processing large volumes of data in batch mode. You need to apply appropriate ETL techniques for this workload. What is a suitable ETL technique to use in this scenario?
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Question 34 of 40
34. Question
You are designing a data analytics solution that requires high availability and fault tolerance. You need to implement a mechanism that ensures that the system can continue to operate in the event of a component failure. What is a suitable failover mechanism to use in this scenario?
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Question 35 of 40
35. Question
You are designing a data analytics solution that requires high scalability and performance. You need to implement a mechanism that ensures that the system can handle increased traffic and workload. What is a suitable scaling mechanism to use in this scenario?
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Question 36 of 40
36. Question
You are designing a data analytics solution that requires high performance and low latency for concurrent read and write operations. You need to implement a mechanism that ensures that multiple users can access the dataset simultaneously without conflicts. What is a suitable concurrency technique to use in this scenario?
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Question 37 of 40
37. Question
Which AWS service can be used to create an orchestration workflow for data processing?
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Question 38 of 40
38. Question
Which of the following is a benefit of using AWS Glue for data processing?
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Question 39 of 40
39. Question
Which AWS service can be used to enrich data by adding geospatial information?
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Question 40 of 40
40. Question
Which AWS service can be used to implement automated techniques for repeatable workflows?
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