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Exam Detail:
The DAS-C01 AWS Certified Data Analytics - Specialty exam is designed to validate the knowledge and skills of individuals working with data analytics on the Amazon Web Services (AWS) platform. Here are the exam details for the DAS-C01 exam:

- Number of Questions: The exam typically consists of multiple-choice and multiple-response questions. The exact number of questions may vary, but it is typically around 65-75 questions.

- Time Limit: The time allotted to complete the exam is 170 minutes (2 hours and 50 minutes).

Course Outline:
The DAS-C01 certification exam covers a wide range of topics related to data analytics on AWS. The course outline typically includes the following domains:

1. Collection, Storage, and Data Management:
- Understanding AWS data collection services, such as AWS Data Pipeline, AWS Glue, and AWS Database Migration Service (DMS).
- Implementing data storage and data management solutions using AWS services like Amazon S3, Amazon Redshift, and Amazon DynamoDB.
- Configuring data access and security controls.

2. Processing:
- Designing and implementing data processing solutions using AWS services like Amazon EMR, AWS Lambda, and AWS Glue.
- Transforming and enriching data using AWS Glue and AWS Lambda functions.
- Implementing data governance and data quality controls.

3. Analysis and Visualization:
- Leveraging AWS services like Amazon Athena, Amazon QuickSight, and Amazon Quicksight to perform data analysis and visualization.
- Designing and optimizing queries and data analysis workflows.
- Creating interactive and insightful dashboards and visualizations.

4. Machine Learning:
- Understanding the principles of machine learning (ML) and its application in data analytics.
- Implementing ML solutions using AWS services like Amazon SageMaker, AWS Glue, and Amazon Rekognition.
- Evaluating and optimizing ML models.

Exam Objectives:
The objectives of the DAS-C01 exam are as follows:

- Assessing candidates' knowledge of AWS data analytics services and their capabilities.
- Evaluating candidates' proficiency in designing and implementing data collection, storage, and management solutions.
- Testing candidates' ability to process and transform data using AWS data analytics services.
- Assessing candidates' understanding of data analysis and visualization techniques using AWS services.
- Evaluating candidates' knowledge of machine learning principles and their application in data analytics on AWS.

Exam Syllabus:
The specific exam syllabus for the DAS-C01 exam covers the following topics:

1. Domain 1: Collection, Storage, and Data Management:
- AWS data collection services.
- Data storage solutions on AWS.
- Data management and security controls.

2. Domain 2: Processing:
- AWS data processing services.
- Data transformation and enrichment using AWS services.
- Data governance and data quality.

3. Domain 3: Analysis and Visualization:
- AWS services for data analysis and visualization.
- Query optimization and performance tuning.
- Dashboard creation and interactive visualizations.

4. Domain 4: Machine Learning:
- Machine learning principles and concepts.
- AWS machine learning services.
- ML model evaluation and optimization.

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The AWS Certified Data Analytics - Specialty (DAS-C01) exam is designed to test a candidate's skills and knowledge in designing and implementing data analytics solutions using AWS services. The exam evaluates a candidate's ability to use AWS services to collect, process, analyze, and visualize data. Candidates who pass the DAS-C01 exam demonstrate their expertise in building and deploying effective data analytics solutions in the AWS cloud.

The DAS-C01 exam is composed of 65 multiple-choice and multiple-response questions. The exam duration is 180 minutes, and the passing score is 750 out of 1000. The exam questions cover various topics, including data collection, processing, storage, analysis, visualization, and security. Candidates are required to have a thorough understanding of AWS data analytics services and their capabilities.

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To prepare for the DAS-C01 exam, candidates should have experience working with AWS data analytics services such as Amazon Kinesis, Amazon Redshift, Amazon QuickSight, and AWS Glue. They should also have a deep understanding of data analytics concepts and techniques such as data warehousing, ETL (Extract, Transform, Load), data modeling, and machine learning. Candidates can use various training resources such as AWS documentation, whitepapers, and online courses to prepare for the exam.

The DAS-C01 exam is an excellent opportunity for candidates to demonstrate their expertise in designing and implementing data analytics solutions using AWS services. The certification can help candidates advance their careers by opening up new job opportunities and increasing their earning potential. The certification also demonstrates to employers that the candidate has the skills and knowledge to use AWS data analytics services to solve complex business problems.

AWS data analytics services are becoming increasingly popular as more organizations adopt cloud-based solutions. The DAS-C01 certification is a testament to a candidate's expertise in using these services effectively. Certified professionals can help organizations collect, process, analyze, and visualize data in real-time, enabling them to make informed business decisions quickly. The certification can help candidates stand out in a competitive job market and demonstrate their commitment to staying current with the latest technologies and trends in data analytics.

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