DAS-C01: AWS Certified Data Analytics Practice Test 2024

The AWS Certified Data Analytics – Specialty (DAS-C01) course is a comprehensive program designed for professionals eager to expand their knowledge and skills in data analytics on the Amazon Web Services (AWS) platform. As organizations increasingly rely on data to drive strategic decisions, proficiency in AWS data analytics services is essential for data professionals looking to harness the power of data.

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Fri, 29-Nov-2024

Course description

Key Course Highlights:

  • In-Depth Exploration of AWS Services:
    Delve into a variety of AWS services crucial for data analytics, including Amazon S3 for data storage, Amazon Redshift for data warehousing, AWS Glue for ETL processes, Amazon Kinesis for real-time data streaming, and Amazon QuickSight for data visualization.

  • Hands-On Learning:
    Engage in practical, hands-on labs that provide real-world scenarios for implementing data analytics solutions. You will work on projects that require the application of analytical techniques to transform raw data into meaningful insights.

  • Exam Preparation:
    This course aligns with the AWS Certified Data Analytics – Specialty exam objectives. Participants will have access to practice exams, study materials, and expert tips to prepare effectively for certification.

  • Collaboration and Networking:
    Join a community of learners who share your interest in data analytics. Collaborate on projects, exchange ideas, and learn from one another in a supportive environment.

What will i learn?

  • Understand Data Analytics Concepts: Grasp the fundamental principles of data analytics and the AWS services that facilitate data processing and analysis.
  • Design and Implement Solutions: Design effective data analytics solutions using AWS services to meet specific business requirements and optimize data processing workflows.
  • Analyze and Visualize Data: Utilize various tools and techniques to analyze large datasets and create visualizations that communicate insights effectively to stakeholders.
  • Manage Data Security and Compliance: Implement best practices for data security, governance, and compliance when managing sensitive data within AWS.
  • Prepare for Certification: Gain the knowledge and confidence needed to pass the AWS Certified Data Analytics – Specialty exam and advance your career in data analytics.

Requirements

  • 1. Prerequisite Knowledge: While this course is designed as a practice test to simulate the real AWS Certified Data Analytics exam, it assumes you have certain foundational knowledge before starting: Basic Cloud Computing Knowledge: Familiarity with cloud computing concepts, especially AWS (Amazon Web Services), is crucial. You should understand the general principles of cloud computing, including scalability, on-demand resources, and data storage. AWS Fundamentals: Familiarity with core AWS services such as Amazon S3, EC2, RDS, and Lambda. Understanding of AWS IAM (Identity and Access Management) for securing cloud resources. Basic knowledge of AWS networking concepts, like VPCs (Virtual Private Clouds) and subnets. Data Analytics Knowledge: Basic understanding of data analytics concepts: concepts like data warehousing, data lakes, and data processing. Familiarity with tools and platforms for data analytics, including Amazon Redshift, Amazon Kinesis, and Amazon QuickSight. Knowledge of ETL (Extract, Transform, Load) processes and how AWS services like AWS Glue and AWS Lambda are used in analytics workflows. Data Visualization: Familiarity with data visualization tools like Amazon QuickSight to represent analytics insights through charts, graphs, and dashboards. Basic Database Knowledge: Knowledge of database concepts, such as SQL, relational databases, and big data storage solutions like Amazon S3 and Amazon Redshift, is useful.
  • 2. Recommended AWS Certifications (Optional but Helpful): AWS Certified Solutions Architect – Associate: While not required, having a background in the AWS Certified Solutions Architect – Associate certification will help you better understand the underlying architecture of AWS services that are often leveraged for data analytics. AWS Certified Cloud Practitioner: If you're new to AWS, the AWS Certified Cloud Practitioner certification is a great starting point. It provides a broad overview of AWS services and basic cloud concepts, helping you prepare for more specialized exams like the DAS-C01.

Frequently asked question

The AWS Certified Data Analytics - DAS-C01 exam validates an individual’s expertise in using AWS services to design, build, secure, and maintain analytics solutions. It covers topics like data collection, storage, processing, analysis, and visualization in the AWS ecosystem. Passing this exam demonstrates proficiency in big data solutions using AWS.

In this course, you will: >>Get mock exams that simulate the real AWS Certified Data Analytics DAS-C01 exam environment. >>Understand the format, style, and types of questions that will appear on the actual exam. >>Review key AWS services used for data analytics, including Amazon Redshift, AWS Glue, Amazon S3, Kinesis, and AWS Lambda. >>Test your knowledge on data visualization, data security, and analytics infrastructure. >>Gain insight into the best practices for preparing for the exam and managing time during the test.

This course is designed for individuals who have some foundational knowledge of AWS services, particularly those related to data analytics. You should have prior experience with AWS or have completed introductory AWS certifications like the AWS Certified Solutions Architect - Associate or AWS Certified Developer - Associate before taking this practice test course.

Yes, most platforms allow you to retake the practice tests as many times as you like. This will help you reinforce your knowledge and improve your score with each attempt.

₹499

₹1499

Lectures

0

Quizzes

2

Skill level

Beginner

Expiry period

Lifetime

Certificate

Yes
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