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Exam Code: DAS-C01 Expired
Exam Name: AWS Certified Data Analytics - Specialty
Updated: Sep 29, 2026
157 Questions and Answers
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Exam Code: DAS-C01 Expired
Exam Name: AWS Certified Data Analytics - Specialty
Updated: Sep 29, 2026
157 Questions and Answers
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Exam Code: DAS-C01 Expired
Exam Name: AWS Certified Data Analytics - Specialty
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157 Questions and Answers
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Amazon DAS-C01 Exam Questions

AWS Certified Data Analytics - Specialty exams.

Question — (Single Choice)

A financial services company needs to aggregate daily stock trade data from the exchanges into a data store. The company requires that data be streamed directly into the data store, but also occasionally allows data to be modified using SQL. The solution should integrate complex, analytic queries running with minimal latency. The solution must provide a business intelligence dashboard that enables viewing of the top contributors to anomalies in stock prices. Which solution meets the company’s requirements?

Choose the answer:

A Use Amazon Kinesis Data Firehose to stream data to Amazon S3. Use Amazon Athena as a data source for Amazon QuickSight to create a business intelligence dashboard.
B Use Amazon Kinesis Data Streams to stream data to Amazon Redshift. Use Amazon Redshift as a data source for Amazon QuickSight to create a business intelligence dashboard.
C Use Amazon Kinesis Data Firehose to stream data to Amazon Redshift. Use Amazon Redshift as a data source for Amazon QuickSight to create a business intelligence dashboard.
D Use Amazon Kinesis Data Streams to stream data to Amazon S3. Use Amazon Athena as a data source for Amazon QuickSight to create a business intelligence dashboard.

Question — (Single Choice)

A financial company hosts a data lake in Amazon S3 and a data warehouse on an Amazon Redshift cluster. The company uses Amazon QuickSight to build dashboards and wants to secure access from its on - premises Active Directory to Amazon QuickSight. How should the data be secured?

Choose the answer:

A Use an Active Directory connector and single sign - on (SSO) in a corporate network environment.
B Use a VPC endpoint to connect to Amazon S3 from Amazon QuickSight and an IAM role to authenticate Amazon Redshift.
C Establish a secure connection by creating an S3 endpoint to connect Amazon QuickSight and a VPC endpoint to connect to Amazon Redshift.
D Place Amazon QuickSight and Amazon Redshift in the security group and use an Amazon S3 endpoint to connect Amazon QuickSight to Amazon S3.

Question — (Single Choice)

A real estate company has a mission - critical application using Apache HBase in Amazon EMR. Amazon EMR is configured with a single master node. The company has over 5 TB of data stored on an Hadoop Distributed File System (HDFS). The company wants a cost - effective solution to make its HBase data highly available. Which architectural pattern meets company’s requirements?

Choose the answer:

A Use Spot Instances for core and task nodes and a Reserved Instance for the EMR master node. Configure the EMR cluster with multiple master nodes. Schedule automated snapshots using Amazon EventBridge.
B Store the data on an EMR File System (EMRFS) instead of HDFS. Enable EMRFS consistent view. Create an EMR HBase cluster with multiple master nodes. Point the HBase root directory to an Amazon S3 bucket.
C Store the data on an EMR File System (EMRFS) instead of HDFS and enable EMRFS consistent view. Run two separate EMR clusters in two different Availability Zones. Point both clusters to the same HBase root directory in the same Amazon S3 bucket.
D Store the data on an EMR File System (EMRFS) instead of HDFS and enable EMRFS consistent view. Create a primary EMR HBase cluster with multiple master nodes. Create a secondary EMR HBase read - replica cluster in a separate Availability Zone. Point both clusters to the same HBase root directory in the same Amazon S3 bucket.

Question — (Single Choice)

A software company hosts an application on AWS, and new features are released weekly. As part of the application testing process, a solution must be developed that analyzes logs from each Amazon EC2 instance to ensure that the application is working as expected after each deployment. The collection and analysis solution should be highly available with the ability to display new information with minimal delays. Which method should the company use to collect and analyze the logs?

Choose the answer:

A Enable detailed monitoring on Amazon EC2, use Amazon CloudWatch agent to store logs in Amazon S3, and use Amazon Athena for fast, interactive log analytics.
B Use the Amazon Kinesis Producer Library (KPL) agent on Amazon EC2 to collect and send data to Kinesis Data Streams to further push the data to Amazon Elasticsearch Service and visualize using Amazon QuickSight.
C Use the Amazon Kinesis Producer Library (KPL) agent on Amazon EC2 to collect and send data to Kinesis Data Firehose to further push the data to Amazon Elasticsearch Service and Kibana.
D Use Amazon CloudWatch subscriptions to get access to a real - time feed of logs and have the logs delivered to Amazon Kinesis Data Streams to further push the data to Amazon Elasticsearch Service and Kibana.

Question — (Single Choice)

A data analyst is using AWS Glue to organize, cleanse, validate, and format a 200 GB dataset. The data analyst triggered the job to run with the Standard worker type. After 3 hours, the AWS Glue job status is still RUNNING. Logs from the job run show no error codes. The data analyst wants to improve the job execution time without overprovisioning. Which actions should the data analyst take?

Choose the answer:

A Enable job bookmarks in AWS Glue to estimate the number of data processing units (DPUs). Based on the profiled metrics, increase the value of the executor - cores job parameter.
B Enable job metrics in AWS Glue to estimate the number of data processing units (DPUs). Based on the profiled metrics, increase the value of the maximum capacity job parameter.
C Enable job metrics in AWS Glue to estimate the number of data processing units (DPUs). Based on the profiled metrics, increase the value of the spark.yarn.executor.memoryOverhead job parameter.
D Enable job bookmarks in AWS Glue to estimate the number of data processing units (DPUs). Based on the profiled metrics, increase the value of the num - executors job parameter.

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Introduction To The Amazon DAS-C01 Exam

The Amazon DAS-C01 exam is designed to evaluate a candidate’s practical knowledge, technical understanding, and ability to handle real-world tasks related to the DAS-C01 exam objectives. This AWS Certified Data Analytics - Specialty exam tests both theoretical concepts and practical problem-solving skills commonly required in professional environments. Candidates preparing for the DAS-C01 exam should understand the core topics, exam patterns, and effective preparation methods to improve their chances of DAS-C01 exam success.

Understanding The DAS-C01 Amazon Exam Structure

The DAS-C01 Amazon exam usually includes various question types that assess your understanding from multiple perspectives. The AWS Certified Data Analytics - Specialty exam is designed to test not only your memorization skills but also your ability to apply concepts in practical situations. DAS-C01 candidates should be prepared to answer questions related to processes, technologies, troubleshooting, and decision-making scenarios.

Main Topics Covered In The Amazon DAS-C01 Exam

The Amazon DAS-C01 exam generally covers several important areas that candidates must study carefully before attempting the DAS-C01 exam.

DAS-C01 Core Concepts and Fundamentals

DAS-C01 candidates should understand the basic concepts, terminology, and foundational knowledge related to the DAS-C01 AWS Certified Data Analytics - Specialty exam objectives. A strong understanding of the fundamentals helps build confidence for advanced topics and practical DAS-C01 exam questions.

DAS-C01 Exam - Problem Solving And Troubleshooting

The DAS-C01 AWS Certified Data Analytics - Specialty exam may test your ability to identify issues, analyze problems, and select the most effective solution in different situations. Understanding troubleshooting methods is essential for handling real-world scenarios successfully.

Tools, Technologies, and System Functions

DAS-C01 exam candidates should be familiar with the tools, technologies, platforms, and system functions associated with the AWS Certified Data Analytics - Specialty exam objectives. Questions may involve configuration tasks, reporting features, monitoring processes, or system management activities.

Question Formats In The Amazon DAS-C01 Exam

The DAS-C01 Amazon exam may include different question formats to evaluate technical knowledge and practical thinking abilities.

Amazon DAS-C01 Multiple-Choice Questions

These Amazon DAS-C01 questions test your understanding of concepts, definitions, procedures, and best practices related to the AWS Certified Data Analytics - Specialty exam topics.

Amazon DAS-C01 Scenario-Based Questions

Scenario-based Amazon DAS-C01 questions present realistic situations where candidates must choose the best solution, action plan, or troubleshooting approach based on the provided DAS-C01 exam information.

Effective Preparation Strategy For The DAS-C01 Exam

A proper preparation strategy is important for improving your performance in the DAS-C01 Amazon exam. Start by reviewing all exam objectives and dividing your study plan into smaller weekly goals. Focus on understanding concepts clearly instead of relying only on memorization techniques. Practice with updated DAS-C01 AWS Certified Data Analytics - Specialty exam questions regularly to become familiar with the DAS-C01 exam structure and question patterns. Reviewing answer explanations can help improve analytical thinking and strengthen your understanding of difficult topics.

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Tips to Improve Amazon DAS-C01 Exam Performance

Amazon DAS-C01 candidates should maintain a consistent study routine and focus on high-priority topics during DAS-C01 exam preparation. Reading explanations carefully, reviewing incorrect answers, and practicing real DAS-C01 AWS Certified Data Analytics - Specialty exam scenarios can significantly improve overall performance. Time management during the DAS-C01 exam is also essential for answering all questions effectively.

Benefits Of Proper Amazon DAS-C01 Exam Preparation

Well-prepared candidates usually perform better because they understand both the technical and practical aspects of the Amazon DAS-C01 exam objectives. Proper Amazon DAS-C01 exam preparation improves confidence, increases knowledge retention, and helps candidates handle AWS Certified Data Analytics - Specialty exam questions more efficiently.

Final Thoughts

The Amazon DAS-C01 exam requires a combination of technical understanding, practical knowledge, and problem-solving ability. Amazon DAS-C01 candidates who follow a structured preparation plan, practice consistently, and focus on real-world applications are more likely to achieve successful results. With the right DAS-C01 exam preparation strategy and updated study material, you can approach the DAS-C01 exam with confidence and improve your overall performance.

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