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Exam Number : DAS-C01
Exam Name : AWS Certified Data Analytics - Specialty (DAS-C01)
Vendor Name : Amazon
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DAS-C01 Exam Format | DAS-C01 Course Contents | DAS-C01 Course Outline | DAS-C01 Exam Syllabus | DAS-C01 Exam Objectives

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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Amazon DAS-C01 learn


How Amazon Has Reorganized around synthetic Intelligence And desktop studying | Resources

In honor of Amazon major Day, let’s take a glance on the internal workings of this enterprise that is pushing the limits of innovation, no longer best with Amazon leading, but the many different slicing-aspect administration concepts.

The business that units the tone for so many features of client experience is breaking down internal limitations and showing how other companies can do the equal. Amazon, a leader in client journey innovation, has taken things to the next stage by using reorganizing the business round its AI and machine learning efforts.

Amazon makes use of An AI administration method known as The Flywheel

Amazon’s approach to AI is called a flywheel. In engineering terms, a flywheel is a deceptively standard device designed to correctly keep rotational power. it really works by means of storing power when a desktop isn’t working at a relentless stage. in its place of wasting energy turning on and off, the flywheel keeps the energy steady and spreads it to other areas of the desktop.

At Amazon, the flywheel method continues AI innovation buzzing along and encourages power and capabilities to unfold to different areas of the enterprise. Amazon’s flywheel approach means that innovation round laptop researching in one area of the company fuels the efforts of alternative teams. these teams use the know-how to drive their products, which impacts innovation all through the entire corporation. essentially, what's created in one part of Amazon acts as a catalyst for AI and desktop studying growth in other areas. Amazon is no stranger to AI. The company turned into one of the most first to make use of the technology to pressure its product options. but as AI and computing device studying develop, the flywheel strategy has turn into a keystone to Amazon’s expanding company – a critical stone at the summit of the company, connecting the corporation together. here's certainly unique at a time when many agencies silo their AI efforts and don’t integrate them into the typical business.

AI is not discovered in a single selected office At Amazon – It’s far and wide

AI isn’t determined in a single office at Amazon, and assistance is unfold throughout departments. laptop getting to know know-how is used by using the product recommendation group to improve its product forecasts, and people insights are shared right through the enterprise. AI and machine gaining knowledge of powers three familiar Amazon items: Alexa, the Amazon Go keep, and the Amazon recommendation engine.

The Amazon Echo, which facets AI bot Alexa, has been one of the crucial company’s most normal forays into computer getting to know. Amazon faced an uphill battle at the start, principally as it became one of the most first groups to are trying its hand at creating a voice-powered virtual assistant that could healthy on a countertop. as soon as the technology begun to come collectively, divisions throughout the company realized that Alexa may well be advisable for their products. one of the first advantage for Alexa had been integrations with Amazon tune, prime Video, and personalised product strategies from an Amazon account. Many agencies now have Alexa advantage that add price to the customer’s life equivalent to Liberty Mutual and Capital one. Liberty Mutual offers auto assurance counsel and Capital One allows for shoppers to make a charge via their Amazon equipment.

The cashier-less Amazon Go store additionally took advantage of the wealth of information to track consumer shopping developments. records from purchasers’ smartphone cameras tracks shopping actions and not simplest helps Amazon Go, however can even be shared with the laptop discovering crew for endured construction.

AI also plays a huge role in Amazon’s advice engine, which generates 35% of the company’s earnings. the use of facts from particular person customer preferences and purchases, looking history and objects which are linked and frequently bought collectively, Amazon can create a customized checklist of products that shoppers actually need to buy.

making a Cohesive consumer experience With artificial Intelligence

data from these three main pillars of the company work together to create a cohesive client adventure. A client can discuss with the Amazon Go save to get a couple of gadgets for dinner, ask Alexa to lookup a recipe and the product suggestion engine can check that the customer likely should purchase a undeniable category of sauce pan. as a substitute of combating towards every other, different divisions share their imaginative skills to give a personalized and cohesive consumer event.

Amazon has come an extended way due to the fact its early beginnings in AI and computing device researching. The company now sells its laptop-researching strategy through Amazon net services to shoppers including NASA and the NFL. by way of taking capabilities of AI advancements and purposes in other areas of the company, it presents customized AI options to giant and small organizations.

In an international the place so many companies are hung up with bureaucracy and silos, it is refreshing to look Amazon damage down the walls to inspire innovation and growth all the way through its complete firm. If other companies are looking to succeed and stay on the innovative of latest expertise, they might also are looking to trust a new organizational strategy like the flywheel.

Blake Morgan is a consumer adventure futurist, keynote speaker and creator of "more Is extra." sign up for her weekly e-newsletter here.


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