Crack Azure Data Engineering by Interview Preparation Course

Crack Azure Data Engineering by Interview Preparation Course, available at $69.99, has an average rating of 4.28, with 99 lectures, 1 quizzes, based on 988 reviews, and has 6732 subscribers.

You will learn about Microsoft Azure Interview Questions & Answers Microsoft Azure Data Engineer Interview Questions & Answers Microsoft Azure Machine test Interview Questions & Answers Microsoft Azure Architect Interview Questions & Answers Azure Scenario based Interview Questions & Answers Spark Databricks Interview Questions & Answers Azure Storage tough Interview Questions & Answers Azure Data factory Scenario based Interview Questions & Answers ADF integration interview questions Azure Practical Interview Questions & Answers Azure Devops Interview Questions and Answers Azure Cheat sheets Spark Databricks Optimization Interview Questions Azure Best practices and real world interview questions This course is ideal for individuals who are Anyone who is learning Cloud or Aspiring to get job as Azure Data Engineer or Aspiring to get job as Azure Data Scientist or Aspiring to get job as Big data developer or Aspiring to get job as Azure Devops or Azure Data Engineers or Data Scientist or Devops Professionals or Anyone who is looking forward to start his career as a Azure Data Engineer or Anyone who is looking forward to start his career as a Azure Cloud developer or Anyone who is looking forward to start his career as a Azure Devops It is particularly useful for Anyone who is learning Cloud or Aspiring to get job as Azure Data Engineer or Aspiring to get job as Azure Data Scientist or Aspiring to get job as Big data developer or Aspiring to get job as Azure Devops or Azure Data Engineers or Data Scientist or Devops Professionals or Anyone who is looking forward to start his career as a Azure Data Engineer or Anyone who is looking forward to start his career as a Azure Cloud developer or Anyone who is looking forward to start his career as a Azure Devops.

Enroll now: Crack Azure Data Engineering by Interview Preparation Course

Summary

Title: Crack Azure Data Engineering by Interview Preparation Course

Price: $69.99

Average Rating: 4.28

Number of Lectures: 99

Number of Quizzes: 1

Number of Published Lectures: 99

Number of Published Quizzes: 1

Number of Curriculum Items: 100

Number of Published Curriculum Objects: 100

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Microsoft Azure Interview Questions & Answers
Microsoft Azure Data Engineer Interview Questions & Answers
Microsoft Azure Machine test Interview Questions & Answers
Microsoft Azure Architect Interview Questions & Answers
Azure Scenario based Interview Questions & Answers
Spark Databricks Interview Questions & Answers
Azure Storage tough Interview Questions & Answers
Azure Data factory Scenario based Interview Questions & Answers
ADF integration interview questions
Azure Practical Interview Questions & Answers
Azure Devops Interview Questions and Answers
Azure Cheat sheets
Spark Databricks Optimization Interview Questions
Azure Best practices and real world interview questions

Who Should Attend

Anyone who is learning Cloud
Aspiring to get job as Azure Data Engineer
Aspiring to get job as Azure Data Scientist
Aspiring to get job as Big data developer
Aspiring to get job as Azure Devops
Azure Data Engineers
Data Scientist
Devops Professionals
Anyone who is looking forward to start his career as a Azure Data Engineer
Anyone who is looking forward to start his career as a Azure Cloud developer
Anyone who is looking forward to start his career as a Azure Devops

Target Audiences

Anyone who is learning Cloud
Aspiring to get job as Azure Data Engineer
Aspiring to get job as Azure Data Scientist
Aspiring to get job as Big data developer
Aspiring to get job as Azure Devops
Azure Data Engineers
Data Scientist
Devops Professionals
Anyone who is looking forward to start his career as a Azure Data Engineer
Anyone who is looking forward to start his career as a Azure Cloud developer
Anyone who is looking forward to start his career as a Azure Devops

This course helps you clear the concept about Azure Data Factory, Azure Databricks, Spark, pyspark, Storage account, Devops, Azure integrations and how work happens within the real world in industry.

It will help you to build concept from scratch to the advanced level.

Main focus here is not just the questions but important is the explanations around those concepts.

This course precisely will help you to get prepare for any Azure interview and make you smart enough to answer and crack the job offer.

Here you will get all variety of interview questions like:

1. Beginner level interview Questions and Answers with explanation.

2. Tough interview Questions and Answers with explanation.

3. Practical interview Questions and Answers with explanation.

4. Scenarios based interview Questions and Answers with explanation.

5. Managerial level interview Questions and Answers with explanation.

6. Integration level interview Questions and Answers with explanation.

7. Architect level interview Questions and Answers with explanation.

This course is suitable for all the professionals belongs to

Fresher Level

2-5 yrs Experienced

5-10 yrs Experienced

10-15 yrs Experienced

15-20 yrs Experienced

Majority of the topics included under this course is as follows:

Azure Data Factory

Azure Databricks

Apache Spark

pySpark

Azure Storage

Azure Blob Storage

Azure Data Lake Storage

Azure Queues

Azure File Share

Azure Tables

Azure Synapse

This course will also helps to the folks who are preparing for following exams like:

Az-900

Dp-203

DP-900

Highlights of the course:

1. Pre recorded video course of 8 hrs.

2. 125+ Interview Questions

3. Cheat sheets

4. Life time access

5. Continuous Question Additions

6. Immediate Access

Course Curriculum

Chapter 1: About Course

Lecture 1: How to use this course

Chapter 2: Azure Storage Interview Questions

Lecture 1: Level 1: Question 1 To Question 5

Lecture 2: Level 1: Question 6 To Question 8

Lecture 3: Level 1: Question 9 To Question 10

Lecture 4: Level 2: Question 11

Lecture 5: Level 2: Question 12

Lecture 6: Level 2: Question 13

Lecture 7: Level 2: Question 14 and Question 15

Lecture 8: Level 2: Question 16

Lecture 9: Level 2: Question 17

Lecture 10: Level 2: Question 18

Lecture 11: Level 2: Question 19

Lecture 12: Level 2: Question 20

Lecture 13: Level 3: Question 21

Lecture 14: Level 3: Question 22

Lecture 15: Level 3: Question 23

Lecture 16: Level 3: Question 24

Lecture 17: Level 3: Question 25

Lecture 18: Level 3: Question 26

Lecture 19: Level 3: Question 27

Lecture 20: Level 3: Question 28

Lecture 21: Level 3: Question 29

Lecture 22: Level 3: Question 30

Lecture 23: Level 4: Question 31

Lecture 24: Level 4: Question 32

Lecture 25: Level 4: Question 33

Lecture 26: Level 4: Question 34

Lecture 27: Level 4: Question 35

Lecture 28: Level 4: Question 36

Lecture 29: Level 4: Question 37

Lecture 30: Level 4: Question 38

Lecture 31: Level 4: Question 39

Lecture 32: Level 4: Question 40

Chapter 3: Azure Data Factory Interview Questions

Lecture 1: Message From Author: Deepak Goyal

Lecture 2: Level 1: Question 1 and Question 2

Lecture 3: Level 1: Question 3 and Question 4

Lecture 4: Level 1: Question 5 To Question 10

Lecture 5: Level 2: Question 11

Lecture 6: Level 2: Question 12

Lecture 7: Level 2: Question 13

Lecture 8: Level 2: Question 14

Lecture 9: Level 2: Question 15

Lecture 10: Level 2: Question 16

Lecture 11: Level 2: Question 17

Lecture 12: Level 2: Question 18

Lecture 13: Level 2: Question 19

Lecture 14: Level 2: Question 20

Lecture 15: Level 3: Question 21

Lecture 16: Level 3: Question 22

Lecture 17: Level 3: Question 23

Lecture 18: Level 3: Question 24

Lecture 19: Level 3: Question 25

Lecture 20: Level 3: Question 26

Lecture 21: Level 3: Question 27

Lecture 22: Level 3: Question 28

Lecture 23: Level 3: Question 30

Lecture 24: Level 3: Question 31

Lecture 25: Level 3: Question 32

Lecture 26: Level 3: Question 33

Lecture 27: Level 3: Question 34

Lecture 28: Level 3: Question 35

Lecture 29: Level 3: Question 36

Lecture 30: Level 3: Question 37

Lecture 31: Level 3: Question 38

Lecture 32: Level 3: Question 39

Lecture 33: Level 3: Question 40 and cheat sheet

Chapter 4: Azure Databricks / Spark / Pyspark Interview Questions

Lecture 1: Level 1: Question 1

Lecture 2: Level 1: Question 2

Lecture 3: Level 1: Question 3

Lecture 4: Level 1: Question 4

Lecture 5: Level 1: Question 5

Lecture 6: Level 1: Question 6

Lecture 7: Level 1: Question 7

Lecture 8: Level 1: Question 8

Lecture 9: Level 1: Question 9

Lecture 10: Level 1: Question 10

Chapter 5: Azure Databricks / Spark / Pyspark Tough Questions with practical explanation

Lecture 1: Level 2: Question 11

Lecture 2: Level 2: Question 12

Lecture 3: Level 2: Question 15

Lecture 4: Level 2: Question 16

Lecture 5: Level 2: Question 17

Lecture 6: Level 2: Question 19

Lecture 7: Level 2: Question 20

Chapter 6: Azure Databricks / Spark / Pyspark Real Scenario based Question with explanation

Lecture 1: Level 3: Question 21

Lecture 2: Level 3: Question 22

Lecture 3: Level 3: Question 24

Lecture 4: Level 3: Question 25

Lecture 5: Level 3: Question 26

Lecture 6: Level 3: Question 27

Lecture 7: Level 3: Question 29

Lecture 8: Level 3: Question 30

Lecture 9: Level 3: Question 31

Lecture 10: Level 3: Question 32

Instructors

Deepak Goyal
Microsoft Certified Trainer | Architect| Top Voice LinkedIn

Rating Distribution

1 stars: 13 votes
2 stars: 33 votes
3 stars: 113 votes
4 stars: 362 votes
5 stars: 467 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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