DAS-C01.AE1 ISBN: 978-1-64459-269-4
AWS Certified Data Analytics Study Guide: Specialty (DAS-C01)
Gain hands-on experience to pass the AWS DAS-C01 exam with the AWS Certified Data Analytics Study Guide: Specialty (DAS-C01) course and lab. Interactive chapters comprehensively cover DAS-C01 exam objectives and impart skills required to design, build, secure, and maintain analytics solutions on AWS that are efficient, cost-effective, and secure. The AWS Data Analytics course has the best study resources to help you understand the collection system that addresses the key properties of data, such as order, format, and compression.
Expert Self-paced · 1 year access 4.6/5 (238 Reviews)
21 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
01 / About
About This Course
Target Career Roles
- Data Engineer
- Data Architect
- Solutions Architect
- Senior Data Platform Engineer
02 / Lessons & labs
See exactly what you will learn and practice
Lessons
7 Interactive Lessons · 78 topics01 Introduction 5 topics +
- What Does This Course Cover?
- Preparing for the Exam
- Registering for the Exam
- Studying for the Exam
- Exam Objectives
02 History of Analytics and Big Data 9 topics +
- Evolution of Analytics Architecture Over the Years
- The New World Order
- Analytics Pipeline
- The Big Data Reference Architecture
- Data Lakes and their Relevance in Analytics
- Building a Data Lake on AWS
- Using Lake Formation to build a Data Lake on AWS
- Exam Objectives
- References
03 Data Collection 10 topics · 5 LiveLab +
- AWS IoT
- Amazon Kinesis
- AWS Glue
- Amazon SQS
- Amazon Data Migration Service
- AWS Data Pipeline
- Large-Scale Data Transfer Solutions
- Summary
- References
- Exercises & Workshops
5 LiveLab in this lesson — see the labs panel →
04 Data Storage 14 topics · 7 LiveLab +
- Introduction
- Amazon S3
- Amazon S3 Glacier
- Amazon DynamoDB
- Amazon DocumentDB
- Graph Databases and Amazon Neptune
- Storage Gateway
- Amazon EFS
- Amazon FSx for Lustre
- AWS Transfer for SFTP
- Summary
- Exercises
- Further Reading
- References
7 LiveLab in this lesson — see the labs panel →
05 Data Processing and Analysis 13 topics · 3 LiveLab +
- Introduction
- Types of Analytical Workloads
- Amazon Athena
- Amazon EMR
- Amazon Elasticsearch Service
- Amazon Redshift
- Kinesis Data Analytics
- Comparing Batch Processing Services
- Comparing Orchestration Options on AWS
- Summary
- Exam Essentials
- Exercises
- References
3 LiveLab in this lesson — see the labs panel →
06 Data Visualization 11 topics +
- Introduction
- Data Consumers
- Data Visualization Options
- Amazon QuickSight
- Other Visualization Options
- Predictive Analytics
- Summary
- Exam Essentials
- Exercises
- References
- Additional Material
07 Data Security 16 topics · 6 LiveLab +
- Introduction
- Shared Responsibility Model
- Security Services on AWS
- AWS IAM Overview
- Amazon EMR Security
- Amazon S3 Security
- Amazon Athena Security
- Amazon Redshift Security
- Amazon Elasticsearch Security
- Amazon Kinesis Security
- Amazon QuickSight Security
- Amazon DynamoDB Security
- Summary
- Exam Essentials
- Exercises/Workshops
- References and Further Reading
6 LiveLab in this lesson — see the labs panel →
Hands-On Labs Our edge
21 LiveLabs- Creating a Kinesis SQL Application
- Creating a Kinesis Data Stream
- Creating a Kinesis Firehose Delivery Stream
- Using AWS Glue
- Creating an SQS Queue
- Enabling Access Logging for an Amazon S3 Bucket
- Creating an S3 Bucket and Enabling Versioning on it
- Creating a S3 Glacier Storage Using Lifecycle Rules
- Creating a DAX Cluster
- Enabling DynamoDB Streams
- Creating a DynamoDB Table and Writing Data to it
- Creating an Amazon EFS
- Using Amazon Athena
- Creating a VPC Endpoint in Amazon OpenSearch Service
- Creating an Amazon Redshift Cluster
- Creating an IAM Role
- Creating an IAM Group
- Creating an IAM User
- Specifying Server-Side Encryption in S3 with AWS KMS (SSE-KMS)
- Configuring Block Public Access Settings for your S3 Account
- Creating an Encrypted Table in DynamoDB
03 / Exam details
AWS Certified Data Analytics Study Guide: Specialty (DAS-C01) Details
Gain hands-on experience to pass the AWS DAS-C01 exam with the AWS Certified Data Analytics Study Guide: Specialty (DAS-C01) course and lab. Interactive chapters comprehensively cover DAS-C01 exam objectives and impart skills required to design, build, secure, and maintain analytics solutions on AWS that are efficient, cost-effective, and secure. The AWS Data Analytics course has the best study resources to help you understand the collection system that addresses the key properties of data, such as order, format, and compression.
04 / FAQs
Questions before you start
What are the prerequisites for this exam?+
- A minimum of 5 years of experience with common data analytics technologies
- At least 2 years of hands-on experience working on AWS
- Experience and expertise working with AWS services to design, build, secure, and maintain analytics solutions
What is the exam registration fee?+
How many questions are asked in the exam?+
What is the duration of the exam?+
What is the passing score?+
(on a scale of 100-1000)
What is the exam's retake policy?+
In the event that you do not pass to pass an AWS Certification exam, you may retake the exam subject to the following conditions:
- You must wait 14 days from the day you fail to take the exam again.
- Candidates must pay the exam price each time they attempt the exam.
- AWS beta examinations may only be taken one (1) time by each candidate.
- If a candidate has passed an exam, he/she cannot take it again unless their current certification has expired.
- A test result found to be in violation of the retake policy will be marked invalid, which will result in no credit awarded for the test taken. Repeat violators will be banned from participation in the AWS Certification Program.
What is the validity of the certification?+
Where can I find more information about this exam?+
Keep going
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