AWS Certified Data Analytics - Specialty
Last Update May 16, 2024
Total Questions : 207
Our AWS Certified Data Analytics DAS-C01 exam questions and answers cover all the topics of the latest AWS Certified Data Analytics - Specialty exam, See the topics listed below. We also provide Amazon Web Services DAS-C01 exam dumps with accurate exam content to help you prepare for the exam quickly and easily. Additionally, we offer a range of Amazon Web Services DAS-C01 resources to help you understand the topics covered in the exam, such as AWS Certified Data Analytics video tutorials, DAS-C01 study guides, and DAS-C01 practice exams. With these resources, you can develop a better understanding of the topics covered in the exam and be better prepared for success.
| Exam Name | AWS Certified Data Analytics - Specialty |
| Exam Code | DAS-C01 |
| Actual Exam Duration | The duration of the Amazon Web Services DAS-C01 exam is 180 minutes (3 hours). |
| Expected no. of Questions in Actual Exam | 65 |
| What exam is all about | The Amazon Web Services (AWS) DAS-C01 exam is a certification exam that tests the knowledge and skills of individuals in designing and implementing scalable, highly available, and fault-tolerant systems on AWS. The exam covers various topics such as AWS architecture, security, networking, storage, databases, and deployment. Passing this exam validates the candidate's expertise in designing and deploying AWS solutions and helps them stand out in the job market as an AWS certified professional. |
| Passing Score required | The passing score required in the Amazon Web Services (AWS) DAS-C01 exam is 750 out of 1000. This means that you need to answer at least 75% of the questions correctly to pass the exam. The exam consists of multiple-choice and multiple-response questions, and you have 180 minutes to complete it. It is recommended that you have at least two years of experience in designing and deploying AWS cloud architecture before taking the exam. |
| Questions Format | multiple choice or multiple response. |
| Delivery of Exam | The Amazon Web Services DAS-C01 exam is a computer-based exam that is delivered through Pearson VUE testing centers or through online proctoring. |
| Language offered | This exam is offered in the following languages: English, Japanese, Korean, and Simplified Chinese. |
| Cost of exam | $300 USD |
| Target Audience | This credential helps organizations identify and develop talent with critical skills for implementing cloud initiatives. Earning AWS Certified Data Analytics – Specialty validates expertise in using AWS data lakes and analytics services to get insights from data. |
| Average Salary in Market | I don't have access to current market data. However, according to Payscale, the average salary for an AWS Certified Solutions Architect - Associate is around $130,000 per year in the United States. The salary may vary depending on the location, experience, and job role. |
| Testing Provider | Pearson VUE testing center or online proctored exam. |
| Recommended Experience | Who should take this exam? AWS Certified Data Analytics – Specialty is intended for individuals with experience and expertise working with AWS services to design, build, secure, and maintain analytics solutions. Before you take this exam, we recommend you have:
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| Prerequisite | The prerequisites for the Amazon Web Services DAS-C01 exam are: 1. Basic knowledge of AWS services and architecture 2. Experience in designing and deploying scalable, highly available, and fault-tolerant systems on AWS 3. Understanding of AWS security and compliance requirements 4. Familiarity with AWS cost optimization strategies 5. Knowledge of AWS database services and data management 6. Understanding of AWS networking and connectivity options 7. Experience in using AWS management and monitoring tools 8. Familiarity with AWS deployment and automation tools 9. Understanding of AWS application integration and messaging services 10. Knowledge of AWS serverless computing and container services. |
| Retirement (If Applicable) | AWS regularly updates and retires their certification exams to keep up with the latest technology trends and industry standards. It is recommended to check the AWS website or contact their support team for the most up-to-date information on exam retirements. |
| Certification Track (RoadMap): | The certification track/roadmap for the Amazon Web Services (AWS) DAS-C01 exam is as follows: 1. AWS Certified Cloud Practitioner: This is the entry-level certification that validates your understanding of AWS cloud services and basic cloud computing concepts. 2. AWS Certified Solutions Architect – Associate: This certification validates your ability to design and deploy scalable, highly available, and fault-tolerant systems on AWS. 3. AWS Certified Developer – Associate: This certification validates your ability to develop and maintain applications on AWS. 4. AWS Certified SysOps Administrator – Associate: This certification validates your ability to deploy, manage, and operate scalable, highly available, and fault-tolerant systems on AWS. 5. AWS Certified DevOps Engineer – Professional: This certification validates your ability to design, deploy, and manage scalable, highly available, and fault-tolerant systems on AWS using DevOps principles and practices. 6. AWS Certified Solutions Architect – Professional: This certification validates your ability to design and deploy complex, scalable, and highly available systems on AWS. The DAS-C01 exam is part of the AWS Certified Data Analytics – Specialty certification, which validates your ability to design, build, secure, and maintain analytics solutions on AWS. To be eligible for this certification, you must have at least five years of experience in data analytics technologies and a minimum of two years of experience using AWS. |
| Official Information | https://aws.amazon.com/certification/certified-data-analytics-specialty/ |
| See Expected Questions | Amazon Web Services DAS-C01 Expected Questions in Actual Exam |
| Take Self-Assessment | Use Amazon Web Services DAS-C01 Practice Test to Assess your preparation - Save Time and Reduce Chances of Failure |
| Section | Weight | Objectives |
|---|---|---|
| Domain 1: Collection | 18% | 1.1 Determine the operational characteristics of the collection system 1.2 Select a collection system that handles the frequency, volume, and source of data 1.3 Select a collection system that addresses the key properties of data, such asorder, format, and compression |
| Domain 2:Storage and Data Management | 22% | 2.1 Determine the operational characteristics of astorage solution for analytics 2.2 Determinedata access and retrievalpatterns 2.3 Selectanappropriate data layout, schema, structure, and format 2.4 Defineadata lifecycle based on usage patterns and business requirements 2.5 Determineanappropriate system for cataloging data and managing metadata |
| Domain 3: Processing | 24% | 3.1 Determineappropriate data processing solution requirements 3.2 Designa solution for transforming and preparing data for analysis 3.3 Automate and operationalize adata processing solution |
| Domain 4: Analysis and Visualization | 18% | 4.1 Determinethe operational characteristics of ananalysis and visualization solution 4.2 Select the appropriate data analysis solution for a given scenario 4.3 Select the appropriate data visualization solution for a given scenario |
| Domain 5: Security | 18% | 5.1 Select appropriate authentication and authorization mechanisms 5.2 Apply data protection and encryption techniques 5.3 Apply data governance and compliance controls |
TESTED 17 May 2024
