DES-1111 Exam Dumps - Specialist - Technology Architect. PowerMax and VMAX All Flash Solutions Exam

Introduction of EMC DES-1111 Exam!

The EMC DES-1111 exam is a certification exam for the EMC Data Science Associate (EMCDSA) certification. It is designed to test the knowledge and skills of data science professionals in the areas of data analysis, data visualization, machine learning, and data engineering. The exam covers topics such as data wrangling, data exploration, data modeling, and data engineering. It also covers topics related to the use of EMC technologies such as EMC Data Lake, EMC Data Warehouse, and EMC Data Science Platform.

What is the Duration of EMC DES-1111 Exam?

The duration of the EMC DES-1111 exam is 90 minutes.

What are the Number of Questions Asked in EMC DES-1111 Exam?

There are 60 questions in the EMC DES-1111 exam.

What is the Passing Score for EMC DES-1111 Exam?

The passing score for the EMC DES-1111 exam is 700 out of 1000.

What is the Competency Level required for EMC DES-1111 Exam?

The Competency Level required for EMC DES-1111 exam is Associate.

What is the Question Format of EMC DES-1111 Exam?

The EMC DES-1111 exam includes multiple choice questions and performance-based questions.

How Can You Take EMC DES-1111 Exam?

The EMC DES-1111 exam can be taken either online or in a testing center. To take the exam online, you will need to create an account with a third-party provider such as Pearson VUE or Prometric. Once you have created an account, you can register for the exam and pay the associated fees. To take the exam in a testing center, you will need to contact the testing center directly to schedule an appointment and pay the associated fees.

What Language EMC DES-1111 Exam is Offered?

EMC DES-1111 exam is offered in English only.

What is the Cost of EMC DES-1111 Exam?

The cost of the EMC DES-1111 exam is $125 USD.

What is the Target Audience of EMC DES-1111 Exam?

The target audience of the EMC DES-1111 exam is IT professionals who want to demonstrate their knowledge and skills in EMC technology, including storage, data protection, backup and recovery, replication, virtualization and cloud computing.

What is the Average Salary of EMC DES-1111 Certified in the Market?

The average salary for a professional with an EMC DES-1111 certification is approximately $90,000 per year.

Who are the Testing Providers of EMC DES-1111 Exam?

The EMC DES-1111 exam is administered by Pearson VUE. Pearson VUE provides a variety of testing centers around the world, making it easy to find a convenient location to take the exam.

What is the Recommended Experience for EMC DES-1111 Exam?

The recommended experience for the EMC DES-1111 exam is two years of hands-on experience with deploying, configuring, and troubleshooting Dell EMC Data Domain products. Additionally, knowledge of storage area networks (SANs) and data protection solutions are recommended.

What are the Prerequisites of EMC DES-1111 Exam?

The Prerequisite for EMC DES-1111 Exam is that the candidate should have a minimum of six months to one year of hands-on experience with EMC PowerProtect Data Manager, Data Domain, and Data Protection Advisor products. The candidate should also have a strong understanding of the backup/restore process, data protection concepts, and the associated technologies.

What is the Expected Retirement Date of EMC DES-1111 Exam?

The official website for EMC DES-1111 exam is https://education.emc.com/guest/exam-catalog/exam-details.aspx?examcode=DES-1111. This page provides information about the exam, including the retirement date.

What is the Difficulty Level of EMC DES-1111 Exam?

The difficulty level of the EMC DES-1111 exam is moderate. The exam covers a wide range of topics and requires a good understanding of the fundamentals of data storage and management. Candidates should have a strong understanding of the concepts and technologies related to storage, storage networks, virtualization, and data protection.

What is the Roadmap / Track of EMC DES-1111 Exam?

The EMC DES-1111 certification track/roadmap is a comprehensive set of objectives and skills that IT professionals need to master in order to become certified in EMC Data Science and Analytics. The DES-1111 exam is the first step in the certification track and focuses on the fundamentals of data science and analytics. It covers topics such as data exploration, data analysis, data visualization, machine learning, and data governance. Passing the DES-1111 exam is a prerequisite for the more advanced EMC Data Science and Analytics certification exams.

What are the Topics EMC DES-1111 Exam Covers?

The EMC DES-1111 exam covers the following topics:

1. Data Domain System Architecture: This topic covers the architecture of the Data Domain system, including the components, features, and functions. It also covers the system configuration and management.

2. Data Domain System Administration: This topic covers the configuration, maintenance, and troubleshooting of the Data Domain system. It also covers the management of the Data Domain system and its components.

3. Data Domain System Performance: This topic covers the performance of the Data Domain system and its components. It also covers the optimization of the system and its performance.

4. Data Domain System Security: This topic covers the security of the Data Domain system and its components. It also covers the security best practices and the security features of the system.

5. Data Domain System Troubleshooting: This topic covers the troubleshooting of the Data Domain system and its components. It also covers the troubleshooting best practices and

What are the Sample Questions of EMC DES-1111 Exam?

1. What are the key features of the EMC Data Science and Big Data Analytics (DES-1111) certification?
2. How can data science be used to improve business outcomes?
3. What is the purpose of data mining and analytics?
4. Describe the various methods of data collection and storage.
5. What are the best practices for data security and privacy?
6. What is the role of machine learning in data science?
7. What are the different types of data visualization techniques?
8. How can predictive analytics help organizations make better decisions?
9. What are the benefits of using artificial intelligence (AI) in data science?
10. What are the key challenges associated with data science?