AWS Certified Data Analytics Specialty - 2024

AWS Certified Data Analytics Practice Tests - Complete Explanations and References that covers all DAS-C01

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AWS Certified Data Analytics Specialty - 2024

What You Will Learn!

  • Maximize your odds of passing the AWS Certified Data Analytics Specialty exam
  • Move and transform massive data streams with Kinesis
  • Store big data with S3 and DynamoDB in a scalable, secure manner
  • Process big data with AWS Lambda and Glue ETL
  • Use the Hadoop ecosystem with AWS using Elastic MapReduce
  • Apply machine learning to massive data sets with Amazon ML, SageMaker, and deep learning
  • Analyze big data with Kinesis Analytics, Amazon Elasticsearch Service, Redshift, RDS, and Aurora
  • Visualize big data in the cloud using AWS QuickSight

Description

AWS Certified Data Analytics Specialty

Become an AWS Certified Data Analytics Specialty with this comprehensive course!

The AWS Certified Data Analytics Specialty is an advanced certification that validates your ability to design, build, and manage data analytics solutions on AWS. With this certification, you can demonstrate your expertise in using AWS services such as Amazon Redshift, Amazon Kinesis, and Amazon EMR to solve complex business problems.

In this course, you will learn the advanced concepts and skills required to pass the AWS Certified Data Analytics Specialty exam. You will cover data architecture, data ingestion, data processing, data warehousing, data visualization, and machine learning. You will also receive hands-on practice with real-world data analytics scenarios.

By the end of this course, you will be able to:

  • Design and build data analytics solutions on AWS.

  • Ingest and process data from various sources.

  • Analyze data using Amazon Redshift and other AWS services.

  • Visualize data using Amazon QuickSight and other AWS services.

  • Apply machine learning to solve business problems.

Who Should Take This Course:

This course is for experienced data engineers, data scientists, and data analysts who want to advance their skills and knowledge of AWS data analytics. This includes data engineers, data scientists, and data analysts who work with AWS on a daily basis, data engineers, data scientists, and data analysts who want to prepare for the AWS Certified Data Analytics Specialty exam, and data engineers, data scientists, and data analysts who want to learn more about advanced AWS data analytics concepts.

What You Will Need to Take This Course:

  • A computer with internet access

  • A basic understanding of data analytics principles

  • Experience with programming languages such as SQL and Python

  • Experience with AWS services such as Amazon S3, Amazon EC2, and Amazon VPC


Benefits of Taking This Course:

  • Learn from experienced instructors: Our instructors are all AWS Certified Data Analytics Specialty experts with years of experience in the field.

  • Get hands-on practice: You will receive hands-on practice with real-world data analytics scenarios.

  • Prepare for the AWS Certified Data Analytics Specialty exam: You will receive comprehensive practice questions and mock exams to help you prepare for the AWS Certified Data Analytics Specialty exam.

  • Get lifetime access: Once you purchase the course, you will have lifetime access to the materials and resources.

Enroll in this course today and take your first step towards becoming an AWS Certified Data Analytics Specialty!


The AWS Certified Data Analytics Specialty Exam is one of the most challenging certification exams you can take from Amazon. Passing it tells employers in no uncertain terms that your knowledge of big data systems is wide and deep. But, even experienced technologists need to prepare heavily for this exam. This course sets you up for success, by covering all of the big data technologies on the exam and how they fit together.

The world of data analytics on AWS includes a dizzying array of technologies and services. Just a sampling of the topics we cover in-depth are:

  • Streaming massive data with AWS Kinesis

  • Queuing messages with Simple Queue Service (SQS)

  • Wrangling the explosion data from the Internet of Things (IOT)

  • Transitioning from small to big data with the AWS Database Migration Service (DMS)

  • Storing massive data lakes with the Simple Storage Service (S3)

  • Optimizing transactional queries with DynamoDB

  • Tying your big data systems together with AWS Lambda

  • Making unstructured data query-able with AWS Glue, Glue ETL, Glue DataBrew, Glue Studio, and Lake Formation

  • Processing data at unlimited scale with Elastic MapReduce, including Apache Spark, Hive, HBase, Presto, Zeppelin, Splunk, and Flume

  • Applying neural networks at massive scale with Deep Learning, MXNet, and Tensorflow

  • Applying advanced machine learning algorithms at scale with Amazon SageMaker

  • Analyzing streaming data in real-time with Kinesis Analytics

  • Searching and analyzing petabyte-scale data with Amazon Elasticsearch Service

  • Querying S3 data lakes with Amazon Athena

  • Hosting massive-scale data warehouses with Redshift and Redshift Spectrum

  • Integrating smaller data with your big data, using the Relational Database Service (RDS) and Aurora

  • Visualizing your data interactively with Quicksight

  • Keeping your data secure with encryption, KMS, HSM, IAM, Cognito, STS, and more


Just like the real exam, this practice exam tests five different domains:

  • Collection

  • Storage and Data Management

  • Processing

  • Analysis and Visualization

  • Security

the AWS Certified Data Analytics Specialty is a certification offered by Amazon Web Services (AWS) that validates the advanced data analytics skills of professionals. The exam covers a wide range of data analytics topics, including:

  • Designing and implementing data analytics solutions on AWS

  • Using AWS data analytics services to process and analyze data

  • Automating data analytics tasks with AWS tools and services

  • Troubleshooting and resolving data analytics issues on AWS

The AWS Certified Data Analytics Specialty is a challenging exam, but it is a valuable credential for professionals who want to demonstrate their expertise in AWS data analytics.

To be eligible to take the exam, you must have a minimum of three years of experience in data analytics, with at least one year of experience in AWS data analytics. You must also have a current AWS Certified Solutions Architect – Associate certification.

The exam is 3 hours long and consists of 65 multiple-choice questions. The passing score is 750.

If you pass the exam, you will earn the AWS Certified Data Analytics Specialty certification. This certification will demonstrate your expertise in AWS data analytics and help you advance your career in the cloud computing industry.

Here are some of the benefits of getting the AWS Certified Data Analytics Specialty certification:

  • Increased earning potential: Professionals with the AWS Certified Data Analytics Specialty certification earn more than those without the certification.

  • Increased job opportunities: The AWS Certified Data Analytics Specialty certification is recognized by employers worldwide, which can open up more job opportunities for you.

  • Improved career advancement: The AWS Certified Data Analytics Specialty certification can help you advance your career in the cloud computing industry.

  • Increased credibility: The AWS Certified Data Analytics Specialty certification shows that you have the skills and knowledge to design, implement, and troubleshoot data analytics solutions on AWS.

If you are interested in getting the AWS Certified Data Analytics Specialty certification, I recommend that you start by taking a course or reading a book on the subject. There are also many online resources available. Once you have a good understanding of the material, you can take practice exams to assess your readiness.

I hope this helps!

Here are some additional tips for preparing for the AWS Certified Data Analytics Specialty exam:

  • Create a study plan and stick to it.

  • Set aside time each day to study.

  • Review the exam blueprint and practice exams regularly.

  • Get help from a mentor or take a course if you need it.

  • Stay positive and motivated.

I wish you the best of luck in your preparation for the AWS Certified Data Analytics Specialty exam!

Here are some of the specific topics that are covered on the exam:

  • Data lakes and data warehouses

  • Data extraction, transformation, and loading (ETL)

  • Data visualization

  • Machine learning

  • Natural language processing

  • Real-time analytics

The exam also includes a number of scenario-based questions, which test your ability to apply your knowledge to real-world situations.

Who Should Attend!

  • Data analytics and big data professionals testing their readiness for the AWS Certified Data Analytics Speciatly Exam
  • Experienced technologists seeking certification in Big Data technologies on Amazon Web Services.
  • IT Professionals who are planning to take the AWS Certified Data Analytics Specialty exam
  • Students and professionals who want to deepen their knowledge in AWS

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