AWS Certified Data Analytics ā Specialty (DAS-C01) Exam Simulator #3
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Question 1 of 100
1. Question
What is the main difference between batch and streaming data in terms of volume and flow characteristics?
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Question 2 of 100
2. Question
What is the impact of high data velocity on a collection system?
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Question 3 of 100
3. Question
What is the appropriate method to handle high-volume, high-velocity transactional data in a collection system?
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Question 4 of 100
4. Question
What is the appropriate collection system to use for high-volume, transactional data with low latency requirements?
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Question 5 of 100
5. Question
A data analytics company needs to process and analyze large sets of data from various sources. The data is gathered and sent in batches, with each batch containing millions of records. Which of the following collection systems is best suited for this requirement?
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Question 6 of 100
6. Question
A retail company needs to process and analyze its sales data, which is sent in batches at the end of each day. The data consists of thousands of sales transactions and needs to be processed as quickly as possible. Which of the following collection systems is best suited for this requirement?
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Question 7 of 100
7. Question
A data analytics team needs to process real-time streaming data from a social media platform. Which collection system should they select to handle the high frequency, high volume, and diverse sources of data?
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Question 8 of 100
8. Question
A data analytics team needs to process batch data from various sources that have different formats and structures. Which collection system should they select to handle the diverse sources of data?
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Question 9 of 100
9. Question
A data analytics team needs to ingest large volumes of data from various sources while ensuring high fault tolerance and low latency. Which ingestion service should they choose?
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Question 10 of 100
10. Question
A data analytics team needs to ingest large volumes of data from various sources while keeping costs low. Which ingestion service should they choose?
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Question 11 of 100
11. Question
A data analytics team is using a data collection system that has a bottleneck that is limiting its throughput capability. Which of the following factors is most likely causing the bottleneck?
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Question 12 of 100
12. Question
A data analytics team is using a data collection system that is not able to handle the volume of data that is being ingested. Which of the following solutions would be most effective in increasing the system’s throughput capability?
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Question 13 of 100
13. Question
Which collection system is recommended for collecting streaming data from IoT devices located in remote areas with limited bandwidth connectivity?
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Question 14 of 100
14. Question
Which collection system is recommended for collecting batch data from a legacy system with a custom data format and file transfer protocol?
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Question 15 of 100
15. Question
What AWS service can be used to capture changes to data sources such as Amazon RDS, Amazon S3, and DynamoDB?
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Question 16 of 100
16. Question
Which AWS service can be used to capture changes to a MySQL database running on an EC2 instance?
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Question 17 of 100
17. Question
Which of the following is a data format used for efficient and compact storage of binary data in AWS?
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Question 18 of 100
18. Question
Which of the following compression algorithms is commonly used for compressing data in AWS?
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Question 19 of 100
19. Question
Which collection system is best suited for data that requires exactly-once processing and is highly ordered?
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Question 20 of 100
20. Question
Which collection system is best suited for data that requires at-least-once processing and is highly compressed?
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Question 21 of 100
21. Question
A data analytics team is tasked with optimizing the analysis of a large dataset containing user behavior data. The team needs to design a data formatting scheme that enables them to efficiently analyze the data based on different dimensions, such as user location, device type, and browser type. Which formatting scheme should they use?
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Question 22 of 100
22. Question
A data analytics team needs to optimize the analysis of log files generated by an e-commerce platform. The team needs to design a data partitioning scheme that allows them to efficiently analyze the logs based on customer behavior and purchase history. Which partitioning scheme should they use?
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Question 23 of 100
23. Question
Which data distribution method should be used to optimize performance when processing a large dataset with an uneven distribution of data?
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Question 24 of 100
24. Question
Which data format is most suitable for optimizing query performance when dealing with large datasets with complex data types?
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Question 25 of 100
25. Question
Which storage layout is appropriate for storing and accessing frequently updated datasets with variable-sized records?
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Question 26 of 100
26. Question
Which data sorting and distribution strategy is appropriate for a data warehouse workload that requires fast and efficient query performance on large datasets?
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Question 27 of 100
27. Question
You are designing a data storage solution for an application that requires storing and processing large volumes of unstructured data, including text, images, and videos. The application requires that the data be easily accessible, and that the storage format supports the addition of metadata. Which storage format would you recommend for this task?
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Question 28 of 100
28. Question
You are designing a data storage solution for an application that requires storing and processing large volumes of images in JPEG format. The application requires that the images be stored in a compressed format, but also easily accessible for processing. Which compression/encoding strategy would you recommend for this task?
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Question 29 of 100
29. Question
You are designing a data analytics solution that requires storing and processing large volumes of data in Parquet format. The data is highly repetitive, and you want to optimize the storage and processing performance. Which compression/encoding strategy would you recommend for this task?
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Question 30 of 100
30. Question
You are designing a data analytics solution that requires storing and processing large volumes of data. The data is structured, and the application requires fast query performance. Which storage format would you recommend for this task?
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Question 31 of 100
31. Question
Your organization is using a data lake to store large volumes of unstructured data, including text, images, and videos. The data is stored in a variety of formats, including CSV, JSON, and Parquet. Which of the following data layout and schema options would you recommend to address the requirements of schema evolution?
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Question 32 of 100
32. Question
You are designing a data storage solution for a client, and they have requested that their data schema must be able to evolve over time as new requirements emerge. Which of the following mechanisms would you recommend to address the schema evolution requirements?
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Question 33 of 100
33. Question
A company has a large dataset that is rarely accessed but needs to be retrieved quickly when requested. Which of the following storage solutions is the most appropriate to address the query latency requirements while minimizing costs?
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Question 34 of 100
34. Question
A company is looking for a storage solution that can quickly retrieve data for real-time analysis. Which of the following storage solutions is the most appropriate to address the query latency requirements?
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Question 35 of 100
35. Question
Which of the following storage solutions is most appropriate for storing semi-structured data in AWS?
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Question 36 of 100
36. Question
Which of the following storage solutions is most appropriate for storing structured data in AWS?
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Question 37 of 100
37. Question
Which of the following storage solutions is most appropriate for transient storage of data that is frequently accessed by an application in AWS?
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Question 38 of 100
38. Question
Which of the following storage solutions is most appropriate for long-term storage of infrequently accessed data in AWS?
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Question 39 of 100
39. Question
A retail company needs to store and manage customer order data, which is updated frequently. The company needs a storage solution that can handle the updates and provide high performance for read queries. Which AWS service would be the most appropriate for this use case?
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Question 40 of 100
40. Question
A company collects data from IoT devices that send append-only data every minute. They need a storage solution that can handle this type of data with low latency access. Which AWS service would be the most appropriate for this use case?
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Question 41 of 100
41. Question
A data analytics application requires ad hoc access to a large amount of data that is accessed infrequently and requires long-term storage. Which storage solution is appropriate for this use case?
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Question 42 of 100
42. Question
A data analytics application requires continuous usage of a large amount of data that is frequently accessed and requires real-time analysis. Which storage solution is appropriate for this use case?
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Question 43 of 100
43. Question
A data analytics application requires sequential access to a large amount of data that is frequently accessed and requires real-time analysis. Which storage solution is appropriate for this use case?
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Question 44 of 100
44. Question
A data analytics application requires random access to a large amount of data, which is accessed infrequently and requires long-term storage. Which storage solution is appropriate for this use case?
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Question 45 of 100
45. Question
A system receives data in small batches every 30 minutes and requires long-term storage for historical analysis. Which storage solution is appropriate for this use case?
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Question 46 of 100
46. Question
Which storage solution is appropriate for a system that receives data in micro batches every 5 minutes and requires real-time analysis of the data?
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Question 47 of 100
47. Question
Which storage solution is appropriate for a workload that requires transactional updates with high durability?
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Question 48 of 100
48. Question
Which storage solution is appropriate for a workload that requires transactional updates with low latency?
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Question 49 of 100
49. Question
Which storage solution is appropriate for a workload that requires bulk updates of data with infrequent reads?
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Question 50 of 100
50. Question
Which storage solution is appropriate for a workload that requires frequent updates of a large amount of data?
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Question 51 of 100
51. 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 52 of 100
52. 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 53 of 100
53. 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 54 of 100
54. 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 55 of 100
55. 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 56 of 100
56. 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 57 of 100
57. Question
Which AWS service can be used to create an orchestration workflow for data processing?
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Question 58 of 100
58. Question
Which of the following is a benefit of using AWS Glue for data processing?
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Question 59 of 100
59. Question
Which AWS service can be used to enrich data by adding geospatial information?
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Question 60 of 100
60. Question
Which AWS service can be used to implement automated techniques for repeatable workflows?
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Question 61 of 100
61. Question
Which of the following is a mechanism for tagging and classifying data that can be used with AWS services?
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Question 62 of 100
62. Question
Which of the following is a benefit of using metadata to classify and tag data?
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Question 63 of 100
63. Question
A data analyst needs to perform a statistical analysis on a large dataset stored in an S3 bucket. The data is in CSV format and requires some pre-processing before it can be analyzed. The analyst wants to use a serverless solution that can scale dynamically based on demand. Which AWS service should the analyst choose?
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Question 64 of 100
64. Question
A data engineer needs to preprocess large amounts of data stored in a Redshift cluster before loading it into a machine learning model. The data is in JSON format and needs to be transformed and cleaned before it can be used. The engineer wants to use a distributed computing framework that can process data in parallel. Which AWS service should the engineer choose?
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Question 65 of 100
65. Question
A data analyst needs to perform real-time analysis on streaming data from various sources. The analysis requires the ability to detect anomalies and take immediate action when an anomaly is detected. Which AWS service should the analyst choose?
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Question 66 of 100
66. Question
Which AWS service allows you to create static and interactive visualizations of data?
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Question 67 of 100
67. Question
Which AWS service allows you to create dynamic, interactive, and customizable data visualizations?
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Question 68 of 100
68. Question
An organization is looking to implement an analysis and visualization solution with high availability characteristics. Which of the following best describes a characteristic of a highly available solution?
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Question 69 of 100
69. Question
A data analytics team needs to select an analysis and visualization tool with high availability characteristics. Which of the following factors should they consider when evaluating the availability of a tool?
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Question 70 of 100
70. Question
Which of the following is a key factor in determining Recovery Point Objective (RPO) and Recovery Time Objective (RTO) for a data analytics application?
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Question 71 of 100
71. Question
Which of the following AWS services can be used to provide fault tolerance and high availability for a data analytics application?
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Question 72 of 100
72. Question
Which of the following is a characteristic of a scalable data visualization solution on AWS?
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Question 73 of 100
73. Question
Which of the following AWS services provides scalability for data analytics workloads that require interactive and ad-hoc queries?
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Question 74 of 100
74. Question
What AWS service can help determine the cost of an Amazon QuickSight analysis and visualization solution?
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Question 75 of 100
75. Question
Which of the following factors should be considered when estimating the cost of an Amazon QuickSight analysis and visualization solution?
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Question 76 of 100
76. Question
A company is looking to build a data analytics solution on AWS that will provide predictive analytics and machine learning capabilities. The solution will need to be scalable, cost-effective, and easy to manage. Which of the following services would be the most cost-effective option for this scenario?
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Question 77 of 100
77. Question
A company is looking to implement a data analysis and visualization solution that can handle a variable amount of traffic and data processing requirements. Which of the following AWS services would be the most appropriate for this scenario?
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Question 78 of 100
78. Question
A company wants to use an analysis and visualization tool for their data analytics project, and they need to ensure high availability for their tool. Which of the following should they consider?
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Question 79 of 100
79. Question
Which of the following solutions is most suitable for static presentations of data?
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Question 80 of 100
80. Question
Which of the following is an appropriate visualization approach for performance requirements that require frequent updates for small datasets?
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Question 81 of 100
81. Question
A company is considering using an analysis tool for their data analytics needs. Which of the following design principles would be most important to ensure high availability of the tool?
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Question 82 of 100
82. Question
A data analyst is evaluating an analysis tool to determine its availability characteristics. Which of the following metrics should be considered?
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Question 83 of 100
83. Question
Which AWS service can help provide fault tolerance for an AWS data analytics solution?
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Question 84 of 100
84. Question
What is the difference between RPO and RTO when it comes to failover recovery and fault tolerance within an AWS data analytics solution?
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Question 85 of 100
85. Question
Which of the following is the most appropriate method to implement authorization for an Amazon S3 bucket?
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Question 86 of 100
86. Question
Which of the following is the most appropriate method to implement authorization for an Amazon EC2 instance?
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Question 87 of 100
87. Question
Which of the following is an appropriate method to implement Access Control Lists (ACL) in AWS?
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Question 88 of 100
88. Question
Which of the following AWS services can be used to implement Access Control Lists (ACL) for controlling access to S3 buckets?
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Question 89 of 100
89. Question
Which AWS service allows you to implement table/column level permissions for your data in Amazon S3?
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Question 90 of 100
90. Question
Which AWS service provides an SQL-based interface to grant or deny access to specific tables or columns in Amazon Aurora or Amazon Redshift?
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Question 91 of 100
91. Question
Which AWS service allows you to implement access control mechanisms at the network level, such as security groups, to control traffic to and from your Amazon EC2 instances?
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Question 92 of 100
92. Question
Which of the following statements accurately describes AWS security groups?
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Question 93 of 100
93. Question
Which AWS service allows you to implement role-based access control mechanisms to control access to your AWS resources?
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Question 94 of 100
94. Question
Which of the following statements accurately describes role-based access control?
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Question 95 of 100
95. Question
Which of the following data types require encryption in transit and at rest for compliance with data protection regulations?
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Question 96 of 100
96. Question
Which of the following techniques should be used to mask data in a development environment that contains personally identifiable information (PII)?
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Question 97 of 100
97. Question
Which of the following is an example of server-side encryption for data at rest in an AWS environment?
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Question 98 of 100
98. Question
Which of the following AWS services provides automatic server-side encryption for data at rest by default?
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Question 99 of 100
99. Question
What is an example of a client-side encryption approach in an AWS environment?
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Question 100 of 100
100. Question
Which of the following AWS services supports client-side encryption by default for data stored in it?
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