Question 1

How difficult is the Azure Data Engineer certification exam?

Accepted Answer

The difficulty of the Data Engineer certification Azure exam can vary depending on your level of expertise and experience in data engineering. The exam, specifically the Data Engineering on Microsoft Azure (DP-203) exam, is designed to assess your knowledge and competence in various aspects of data engineering on the Azure platform.

If you already have a solid background in data engineering and practical experience in the field, you may find it relatively easier to grasp the concepts required for the exam. On the other hand, if you are new to data engineering or less familiar with Azure-specific technologies, it may pose a greater challenge.

It's important that you thoroughly prepare for the exam by leveraging quality Azure data engineering training resources, practice exams, and hands-on experience with Azure data engineering tools. This course provides you with all the preparation support that you will need to clear the Azure Data Engineer certification exam in the first go.

Question 2

What’s the process to become DP-203 certified?

Accepted Answer

The process to become a Microsoft Certified Azure Data Engineer Associate—a coveted credential in cloud computing that validates your prowess in data engineering, is as follows:

Get Trained:

Check your eligibility for the DP-203 exam on the Microsoft site.

Sign up for the Data Engineering on Microsoft Azure DP-203 course with a Microsoft Partner, such as KnowledgeHut.

Receive quality Azure data engineering training to acquire the necessary skills and knowledge for the certification.

Take the Exam:

The DP-203 exam assesses candidates on their knowledge of data processing languages like SQL, Python, or Scala, and their understanding of parallel processing and data architecture patterns.

The passing score for the exam is 700 out of 1000. You get a time limit of 2 hours and 10 minutes to answer the questions.

Register with Microsoft and pay the exam fee, which may be subject to change according to Pearson Vue’s policies. Check the latest fees on their official website.

Get Certified:

Once you successfully pass the Azure 203 certification exam, you become a Microsoft Certified Azure Data Engineer Associate.

Showcase your professional Azure certification for data engineer on your CV and professional profiles to highlight your expertise in Azure Data Engineering.

By following these steps, you can not only gain the valuable Microsoft Azure Data Engineering Certification but also elevate your profile as a competent and certified data engineer in the Azure environment.

Question 3

Who provides the Data Engineering on Microsoft Azure Certification?

Accepted Answer

The Data Engineering on Microsoft Azure Certification is provided by Microsoft. Earning Azure Data Engineer certificate is proof that you are competent in designing and managing data solutions on the Azure platform and is a testament to your commitment to career development and upskilling.

Microsoft’s Azure certifications for Data Engineers are among the most recognized in the data engineering domain.

Question 4

What are the prerequisites to take the Azure Data Engineer Certification exam?

Accepted Answer

There are no perquisites to take the Azure Data Engineer Certification exam, however it will be beneficial to have the following:

Be proficient in programming concepts and SQL syntax

A basic understanding of data formats - CSV, JSON

Some basic database knowledge

To get a proper job in data engineering, professionals should have experience with distributed systems, data pipelines, and related database concepts.

Question 5

What is the difficulty level of Azure Data Engineer Associate?

Accepted Answer

As with all exams and certifications, the Azure Data Engineer Associate is also challenging. The difficulty of the exam depends on various factors such as your experience with Azure tools, background in data engineering, amount of preparation and familiarity with the exam.

Overall, earning the data engineer associate certification is difficult, but it is achievable with the right amount of preparation and experience.

Question 6

How many attempts for DP-203?

Accepted Answer

You can attempt the DP-203 exam 5 times. If you didn’t get a passing score the first time, you will have to wait for 24 hours before taking the exam again. Moreover, if you didn’t pass the second time as well, you will need to wait for another 14 days (about 2 weeks) for all subsequent attempts (up to 5). Furthermore, if you fail after the 5th attempt as well, you will need to wait for 12 months from the time of your first attempt to appear for the exam again.

Question 7

What happens if you fail DP-203?

Accepted Answer

If you fail the DP-203 the first time, you can reappear for the exam for the exam after waiting for 24 hours. In case you didn’t pass the exam the second time, you will need to wait for 14 days before making another attempt. You will have a maximum of 5 attempts to write the exam (each attempt 2 weeks apart), after which you will have to wait for 12 months from the time of your first attempt to reappear for the exam.

Question 8

Is AZ 900 required for DP-203?

Accepted Answer

No, passing the AZ-900 test is not a requirement for DP-203 certification. To become a Microsoft Certified: Azure Data Engineer Associate, you just need to pass the DP-203 exam.

Question 9

Where can I find more details on Microsoft Azure certification and exams?

Accepted Answer

You can find more details on the Microsoft Azure certifications for data engineer and exam by clicking on this link. In this Azure data engineer associate certification guide, you will find information on various certification paths, exam guides, study materials and registration information.

Question 10

What is the best Azure certification for data engineer?

Accepted Answer

The best Azure certification for Data engineers is the Microsoft Certified: Azure Data Engineer Associate certification. With this certification, you validate your expertise in data processing, data storage, designing and implementing Azure Data Solutions and data security. You will need to successfully pass the DP-203 exam by Microsoft to achieve the Azure data engineer certificate.

Question 11

Is Python needed for Azure data engineer?

Accepted Answer

Yes, Python is used a lot in Azure data engineering. It can be used for data analysis, data processing and more.

Question 12

Does Azure Data Engineer require coding?

Accepted Answer

Yes, the role of an Azure Data Engineer does require a certain level of coding. Here are a few areas in which coding is used in Azure Data Engineering.  Writing code for data ingestion, transformation and processing using Azure data factory, Azure data bricks and more.  Designing and managing data workflows using scripting tools like Python and SQL. Azure CLI or Powershell is used for creating scripts for automating data tasks and managing infrastructure.

Question 13

What is the difference between Data Engineer and Azure Data Engineer?

Accepted Answer

Data EngineerAzure Data EngineerFocus AreaWide focus on designing and building data pipelines, data warehouses, and moreFocuses especially on designing and implementing data solutions on the Azure platform.Skills NeededETL (Extract, Transform, Load) processes, SQL, scripting languages (e.g., Python), and big data technologies (e.g., Hadoop, Spark).Azure data skills like Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and proficiency in Azure CLI and PowerShell.ToolsApache Hadoop, Apache Spark, SQL databases, and cloud platforms like AWS or Azure.Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Cosmos DB.Cloud ExperienceMay or may not have prior expertise with cloud platforms.Particularly focuses on using Azure cloud services and comprehending Azure-specific solutionsCertificationBroad data engineering credentials like Google Professional Data Engineer, AWS Certified Big Data - Specialty, or Cloudera Certified Professional (CCP) Data Engineer.May look for Microsoft Certified: Azure Data Engineer Associate certification, which demonstrates knowledge in Azure data solutions.Our Data engineer azure certification is one the most coveted ways you can propel your data career forward. Our balanced mix of classroom and practical sessions provides a wholesome understanding of theory with hands-on experience.

Question 14

What can I expect to accomplish after completing the course?

Accepted Answer

In our Azure Data Engineering course, you will learn core data and Azure concepts that will help you to clear the Data Engineering on Microsoft Azure (DP-203) course and get Microsoft Certified. Upon completing the course, you can expect to achieve the following:

1. Exam Readiness for DP-203 - Azure Data Engineering Certification:

Acquire the knowledge and skills essential for successfully clearing the Data Engineering on Microsoft Azure course, leading to Microsoft certification. Validate your expertise and enhance your professional credentials.

2. Comprehensive Understanding of Core Concepts:

Develop a solid foundation in core data and Azure concepts, gaining insights into fundamental principles that underpin effective data engineering in the Azure environment. Explore a diverse range of topics crucial to data engineering, including data loading, data storage, data security, data analysis, and more. Gain practical insights and hands-on experience in each of these critical areas.

3. Practical Application:

Apply theoretical learning to real-world scenarios through practical sessions. Develop the ability to navigate challenges and implement solutions in data engineering on Microsoft Azure.

4. Preparedness for a Range of Data Engineering Tasks:

Equip yourself to handle various data engineering tasks with confidence, covering loading, storage, security, analysis, and other essential aspects. Be ready to take on diverse challenges in the field.

5. Enhanced Career Prospects:

Elevate your career prospects by becoming proficient in Azure Data Engineering. The skills acquired in this course make you a valuable asset in the job market, opening doors to a wide range of career opportunities.

6. Continuous Learning Resources:

Benefit from a wealth of continuous learning resources, including webinars, e-books, tutorials, articles, and interview questions. Stay updated with industry trends and further enhance your expertise even after completing the course.

In summary, completing the Azure Data Engineering course positions you as a certified professional with a comprehensive understanding of core concepts and practical skills, ready to excel in the dynamic field of data engineering on Microsoft Azure.

Question 15

What practical skills will I have on completing the Microsoft Azure Data Engineer Course?

Accepted Answer

Upon completing the Microsoft Azure Data Engineer course, you will be competent in the following areas: Data Design and Implementation, Data Protection, Data Loading, Data Storage, Data Analysis and Building Analytics Solutions. Earning yourself an Azure Data Engineering Certification will aid you in enhancing your data career prospects by proving your worth to leading organizations across the world.

By the end of the Microsoft Azure Data Engineer Course, you will have gained the following key skills:

1. Data Fundamentals: Acquire a comprehensive understanding of fundamental concepts in data, including data storage, Azure storage, and various data formats.

2. Data Design and Implementation: Apply analytical skills to design efficient data systems, focusing on the implementation of data storage solutions within the Azure cloud network.

3. Data Protection: Utilize state-of-the-art security tools to ensure robust endpoint security for data stored on the Azure platform, enhancing data protection measures.

4. Data Loading: Master the efficient loading of data using Azure Synapse Analytics, Databricks, and Azure Data Factory, gaining practical expertise in data loading techniques.

5. Data Storage: Implement and manage Azure storage accounts and Data Warehouse, demonstrating proficiency in securely storing diverse forms of data within the Azure environment.

6. Data Analysis: Utilize cutting-edge storage technologies to construct analytical solutions for data analysis. Develop the skills to extract meaningful insights from stored data, contributing to informed decision-making.

By covering various topics in an Azure environment, this 4-day Azure data engineering training equips you with a well-rounded data engineering skill set on Microsoft Azure. Whether it's understanding data fundamentals, designing and implementing data systems, ensuring data protection, loading data efficiently, managing storage, or conducting data analysis, you'll emerge from the course with a Microsoft data engineering certification and practical skills ready for real-world data engineering applications.

Question 16

What can I expect to accomplish after completing the course?

Accepted Answer

After completing the Azure Data Engineering course, you will be on the way to taking your career to new heights. You will be equipped with the skills to design and manage data solutions on the Microsoft Azure platform. You will also be adept in mastering core azure data services, data integration, building and managing data pipelines and more.

Our Microsoft Data Engineering certification course equips you with the knowledge and skills to clear the Data Engineering on Microsoft Azure (DP-203) exam and get Microsoft Certified. The course supports you in many ways:

a) Exam Readiness for DP-203 - Azure Data Engineering Certification: Acquire the knowledge and skills essential for successfully clearing the Azure data engineering course, leading to data engineering Microsoft certification. Validate your expertise and enhance your professional credentials.

b) Comprehensive Understanding of Core Concepts: Develop a solid foundation in core data and Azure concepts, gaining insights into fundamental principles that underpin effective data engineering in the Azure environment. Explore a diverse range of topics crucial to data engineering, including data loading, data storage, data security, data analysis, and more. Gain practical insights and hands-on experience in each of these critical areas.

c) Practical Application: Apply theoretical learning to real-world scenarios through practical sessions. Develop the ability to navigate challenges and implement solutions in data engineering on Microsoft Azure.

d) Preparedness for a Range of Data Engineering Tasks: Equip yourself to handle various data engineering tasks with confidence, covering loading, storage, security, analysis, and other essential aspects. Be ready to take on diverse challenges in the field.

e) Enhanced Career Prospects: Elevate your career prospects by becoming proficient in Azure Data Engineering. The skills acquired in this course make you a valuable asset in the job market, opening doors to a wide range of career opportunities.

f) Continuous Learning Resources: Benefit from a wealth of continuous learning resources, including webinars, e-books, tutorials, articles, and interview questions. Stay updated with industry trends and further enhance your expertise even after completing the Azure Data Engineer course online.

In summary, completing the Azure Data Engineering course positions you as a Microsoft Certified Azure Data Engineer with a comprehensive understanding of core concepts and practical skills, ready to excel in the dynamic field of data engineering on Microsoft Azure.

Question 17

Which Azure certification is best for Data Engineers?

Accepted Answer

The best certification for Data Engineers is the Microsoft Azure Data Engineering Certification. You will develop a well-rounded skill set Microsoft Azure Data Engineering after earning this certification. Right from learning data fundamentals and designing and implementing data systems to managing storage and data analytics, this Azure data engineer certificate is confirmation on your wide data skill set.

Question 18

How does a Data Engineering on Azure course help me?

Accepted Answer

A Data Engineering on Microsoft Azure course helps build your awareness of the Azure environment and your ability to build data storage, data management, data analysis, and more. Furthermore, you may apply for top Data Engineering jobs worldwide.

Earning an Azure data engineer certificate with Knowledgehut can have a transformative impact on your resume, validating your expertise in the domain.

Question 19

How long does it take to be an Azure Data Engineer Associate?

Accepted Answer

Any professional who can pass the Data Engineering on Microsoft Azure exam can become a Microsoft Certified Azure Data Engineer. The Azure data engineering course for this exam is scheduled for 4 days. You need to have prior knowledge of data processing languages, such as SQL, Python, or Scala, and understand parallel processing and data architecture patterns. Preparation for the exam takes around a month, if you do not have the foundational knowledge, it will take longer.

Question 20

How do I become an Azure data engineer?

Accepted Answer

Passing the Data Engineering on Microsoft Azure exam will qualify you as an Azure Data Engineer.

Question 21

What is the average salary for an Azure Data Engineer?

Accepted Answer

The Average salary of an Azure Data Engineer in the US is $148,312 per year according to Glassdoor. In India, the average salary is ₹ 8,50,000 per year according to Glassdoor.

By attending an Azure data engineering course, you will be skilled with all the intricacies of a professional Azure Data and more likely earn the salary you desire.

Question 22

What skills are required for an Azure Data Engineer?

Accepted Answer

The following skills are required for an Azure Data Engineer Programming languages ETL tools Data warehousing Databases and data structures Machine learning Cloud computing

Question 23

How do I prepare for Azure Data Engineer interview?

Accepted Answer

To prepare for an Azure Data Engineering interview, go through the following steps: Make sure you are familiar with Azure Data Factory, Azure Data Lake, Azure Stream Analytics, and Cosmos DB. Master Azure Data Services, like Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, Azure Synapse Analytics, and Azure Databricks. Master Data Engineering Principles, such as data warehousing, ETL processes, data modeling, and data architecture. Research the interview format and practice with real data engineer

Question 24

What is the role of Azure Data Engineer?

Accepted Answer

The role of the Azure Data Engineer includes designing, executing and managing data solutions using Azure services. Following are some of the functions of a Azure data engineer:

Data ingestion: Collect, import and transfer raw data into a database where it can be processed, analyzed and stored.

Data Storage: Create and manage data storage solutions such as data lakes, data warehouses, and NoSQL databases like Azure Cosmos DB.

Data Transformation: Create ETL (Extract, Transform, and Load) procedures to convert raw data into a format for analysis.

Data Processing: Develop data processing solutions with tools such as Azure Data Factory and Azure Databricks.

Data Modeling: Create and implement data models to meet business objectives and analytical needs.

Data Security: Implement data security and compliance safeguards include encryption, access limits, and data masking.

Collaboration: Collaborate with data scientists, analysts, and other stakeholders to better understand data requirements.

You can prepare yourself for such roles by earning yourself Microsoft data engineering certification.

Question 25

Are Azure Data Engineers in demand?

Accepted Answer

Yes, data engineers are needed in any organization that wants to utilize the data they collect or generate. To make sense of data and to take decisions based on it, a system must be in place where data is reliable and available in a timely manner. Data engineers play a crucial role in building and maintaining such systems. An Azure data engineer certificate will help you apply for a role in leading organizations using Azure. With a Microsoft data engineering certification, you not only exhibit your Azure Data Engineering skills, but you also get involved with a worldwide network of certified professionals.

Question 26

Will DP-203 help me get a job?

Accepted Answer

As much as getting a job depends on your efforts and networking capabilities, passing the DP-203 will certainly help you in getting a job. Earning the Microsoft data engineering certification is one of the most sought-after certifications for data engineer aspirants. Some of the benefits of a passing the DP-203 exam are career growth, increased earning potential and flexibility in career as you will a variety of job paths to choose from.

Question 27

Is Azure Data Engineer better than Data Analyst?

Accepted Answer

Data analysts and data engineers play pivotal role in the realm of data science. By understanding your skills, experience and goals, choosing which is best is entirely up to your career goals. A data engineer is like the architect who designs the infrastructure for data flow whereas a data analyst is who analyses and tells the story of the data. Here’s a table to help you identify the differences between a data engineer and a data analyst.

	Data Engineer	Data Analyst
Main Focus	Develop and manage data infrastructure	Extract insights and information from data
Skills	Python, Java, Scala, SQL, Hadoop, Spark, Cloud platforms and version control	Python, R, SQL, Tableau, Power BI, Statistics and probability, Data wrangling and manipulation
Duties	Design and create data pipelines. Manage and protect data, maintain databases and warehouses, utilize big data technologies	Gather, clean, and organize data. Analyze it using statistics and tools. Create data visualizations. Communicate findings to diverse audiences
Programming Languages	Python, Java, Scala, C++	Python, R, SQL
Projects	Build, optimize, and deploy data pipelines to ensure efficient data flow.	Work on data exploration, visualization, statistical analysis, and creating data-driven dashboards to deliver insights.
Job Roles	Data engineer, big data engineer, data warehouse engineer, and DevOps engineer	Data analyst, business intelligence analyst, research analyst, financial analyst, and data scientist

Question 28

Is Azure Data Engineer certification worth it?

Accepted Answer

Certainly! The Azure Data Engineer certification is well recognized in the industry and sets you up for high-growth path to financial success, with a mastery of one of the most in-demand skills in Cloud.

Holding the Microsoft Azure Data Engineer certification serves as tangible proof of your ability to effectively manage the responsibilities and challenges inherent in the role of a data engineer. A Microsoft certified data engineer is in high demand as there is an incessant influx of data that needs curating.

This certification not only validates your competence but also acts as a recognized credential that can be showcased to colleagues and recruiters. It serves as a valuable asset in demonstrating your proficiency in Azure Data Engineering, enhancing your credibility and opening up opportunities for career advancement in the field.

Question 29

Does an Azure Data Engineer have a future?

Accepted Answer

Absolutely, the future of Azure Data Engineers look promising. The demand for data engineers is certainly going to be in demand for as long as organizations look to organize their cloud-based data solutions. Azure Data Engineers are responsible for building, integrating and managing data on the Azure platform.

According to Markets and Markets, the global data engineering industry is expected to reach $6.8 billion by 2026. 80%. Firms stated that data-driven operations are critical or fundamental to their overall business strategy.

Due to the major growth of Azure solutions in the market, large amounts of data are being collected in their clouds. Therefore, the need for data engineers to manage all that data is going to be in high demand for the foreseeable future.

Question 30

Which is best, Azure DevOps or Azure Data Engineer?

Accepted Answer

Azure DevOps Engineer and Azure Data Engineer are two different roles. Even though they both operate within the Azure ecosystem, their roles work independently of each other. Choosing which is best purely depends on your interests, experience and goals for your career. Here’s a table showcasing the differences between Azure DevOps Engineer and the Azure Data Engineer.

	Azure DevOps Engineer	Azure Data Engineer
Focus point	Optimizing and automating the software development life cycle (SDLC), CI/CD pipeline and operations	Designing, implementing and managing data solutions, processing, storage and analytics
Skills	Adept at Azure DevOps tools, CI/CD Principles, and Azure services	Expertise at SQL, Python, Azure services
Tools	Azure DevOps, Azure Pipelines, Azure Repos (Git), Azure Artifacts, Azure Test Plans, Azure Monitor	Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Cosmos DB
Team Cohesion	Liases with development, testing, and operations teams	Liases with data scientists, analysts, and business stakeholders
Outcomes	Automated deployment, efficient SDLC, improved development effectiveness	Effective data solutions for data processing and analysis
Practical Industry Use	Typically found in industries with a significant emphasis on data analytics and data-driven decision-making	Applicable for many kinds of organizations looking to improve software development and accelerate product delivery

Question 31

What are the modes of training offered for the course?

Accepted Answer

Currently all our Azure data engineer training online is offered as an online Live, interactive, trainer-led sessions where you will get to learn directly from the trainer with opportunities to discuss and clear doubts.

Question 32

Who are the instructors?

Accepted Answer

Our instructors are approved by Microsoft to lead these sessions. They also have hands-on experience and will be able to tell you the practical aspects of what you are learning.

Question 33

How are the workshops structured?

Accepted Answer

Our courses are delivered through live interactive virtual classrooms and can be structured over five days or more.

Our training focuses on interactive learning. Most class time is dedicated to hands-on exercises, lively discussions, and team collaboration, all facilitated by the trainer who is an experienced Azure practitioner. The focus is on finding practical solutions to real-world scenarios in various project environments, both big and small. Therefore, our course is considered as one of the best online courses for data engineering

Question 34

Can I record the session?

Accepted Answer

No, you do not need to record the sessions, the sessions will be auto-recorded on our LMS, you will be able to refer to them.

Question 35

Can I cancel my enrolment? Do I get a refund?

Accepted Answer

At upGrad KnowledgeHut, we strive diligently to make sure that your learning experience with us is second to none and you are assured of the highest standards of quality. However, if for any reason your expectations are not met, we will process refunds in accordance with our Cancellation, Refund, and Deferment Policy.

Question 36

Can I switch my start date?

Accepted Answer

Yes, you can switch your start date with prior notice of at least 24 hours and subject to availability in the desired batch.

Question 37

Are there any scholarships available?

Accepted Answer

Yes, we have scholarships available for students and veterans with grants that can vary up to 50% of the course fees.

To avail scholarships, please get in touch with us at support@knowledgehut.com. The team shall send the forms and instructions to you. Based upon the responses and answers that we receive, our panel of experts take a decision on the Grant. The entire process could take about 7 to 15 days.

Question 38

Are there any group discounts?

Accepted Answer

Yes, group discounts are available and apply to groups as small as three (3) participants. The more participants that attend a training course, the greater the discount. By registering in groups, you can typically save up 20% to 30% on the course fee.

	Data Engineer	Azure Data Engineer
Focus Area	Wide focus on designing and building data pipelines, data warehouses, and more	Focuses especially on designing and implementing data solutions on the Azure platform.
Skills Needed	ETL (Extract, Transform, Load) processes, SQL, scripting languages (e.g., Python), and big data technologies (e.g., Hadoop, Spark).	Azure data skills like Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and proficiency in Azure CLI and PowerShell.
Tools	Apache Hadoop, Apache Spark, SQL databases, and cloud platforms like AWS or Azure.	Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Cosmos DB.
Cloud Experience	May or may not have prior expertise with cloud platforms.	Particularly focuses on using Azure cloud services and comprehending Azure-specific solutions
Certification	Broad data engineering credentials like Google Professional Data Engineer, AWS Certified Big Data - Specialty, or Cloudera Certified Professional (CCP) Data Engineer.	May look for Microsoft Certified: Azure Data Engineer Associate certification, which demonstrates knowledge in Azure data solutions.

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About Azure Data Engineering Exam and Certification

1. How difficult is the Azure Data Engineer certification exam?

2. What’s the process to become DP-203 certified?

3. Who provides the Data Engineering on Microsoft Azure Certification?

4. What are the prerequisites to take the Azure Data Engineer Certification exam?

5. What is the difficulty level of Azure Data Engineer Associate?

6. How many attempts for DP-203?

7. What happens if you fail DP-203?

8. Is AZ 900 required for DP-203?

9. Where can I find more details on Microsoft Azure certification and exams?

10. What is the best Azure certification for data engineer?

11. Is Python needed for Azure data engineer?

12. Does Azure Data Engineer require coding?

13. What is the difference between Data Engineer and Azure Data Engineer?

14. What can I expect to accomplish after completing the course?

15. What practical skills will I have on completing the Microsoft Azure Data Engineer Course?

16. What can I expect to accomplish after completing the course?

PREREQUISITES FOR THE AZURE DATA ENGINEERING CERTIFICATION

Azure Data Engineering Certification Curriculum

1. Data Engineering - An Introduction

2. Design and Implement Data Storage

3. Design and Develop Data Processing

4. Design and Implement Data Security

5. Monitor and Optimize Data Storage and Processing

What You Will Learn

Who Should Attend the Azure Data Engineering Training

GET THE AZURE DATA ENGINEER CERTIFICATION

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Finance Queries

1. Which Azure certification is best for Data Engineers?

2. How does a Data Engineering on Azure course help me?

3. How long does it take to be an Azure Data Engineer Associate?

4. How do I become an Azure data engineer?

5. What is the average salary for an Azure Data Engineer?

6. What skills are required for an Azure Data Engineer?

7. How do I prepare for Azure Data Engineer interview?

1. What is the role of Azure Data Engineer?

2. Are Azure Data Engineers in demand?

3. Will DP-203 help me get a job?

4. Is Azure Data Engineer better than Data Analyst?

5. Is Azure Data Engineer certification worth it?

6. Does an Azure Data Engineer have a future?

7. Which is best, Azure DevOps or Azure Data Engineer?

1. What are the modes of training offered for the course?

2. Who are the instructors?

3. How are the workshops structured?