Crack Azure Data Engineering By Interview Preparation Course

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Crack Azure Data Engineering By Interview Preparation Course
Published 7/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.16 GB | Duration: 7h 28m​

Microsoft Azure Data Engineering Interview guide with Azure data factory, Databricks spark pyspark, storage, ADLS,delta

What you'll 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
Requirements
Anyone can take up this course
Description
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 toFresher Level2-5 yrs Experienced5-10 yrs Experienced10-15 yrs Experienced15-20 yrs ExperiencedMajority of the topics included under this course is as follows:Azure Data FactoryAzure DatabricksApache SparkpySparkAzure StorageAzure Blob StorageAzure Data Lake StorageAzure QueuesAzure File ShareAzure TablesAzure SynapseThis course will also helps to the folks who are preparing for following exams like:Az-900Dp-203DP-900

Overview

Section 1: 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

Section 2: Azure Data Factory Interview Questions

Lecture 33 Level 1: Question 1 and Question 2

Lecture 34 Level 1: Question 3 and Question 4

Lecture 35 Level 1: Question 5 To Question 10

Lecture 36 Level 2: Question 11

Lecture 37 Level 2: Question 12

Lecture 38 Level 2: Question 13

Lecture 39 Level 2: Question 14

Lecture 40 Level 2: Question 15

Lecture 41 Level 2: Question 16

Lecture 42 Level 2: Question 17

Lecture 43 Level 2: Question 18

Lecture 44 Level 2: Question 19

Lecture 45 Level 2: Question 20

Lecture 46 Level 3: Question 21

Lecture 47 Level 3: Question 22

Lecture 48 Level 3: Question 23

Lecture 49 Level 3: Question 24

Lecture 50 Level 3: Question 25

Lecture 0 Level 3: Question 26

Lecture 51 Level 3: Question 27

Lecture 0 Level 3: Question 28

Lecture 52 Level 3: Question 30

Lecture 53 Level 3: Question 31

Lecture 54 Level 3: Question 32

Lecture 55 Level 3: Question 33

Lecture 56 Level 3: Question 34

Lecture 57 Level 3: Question 35

Lecture 58 Level 3: Question 36

Lecture 59 Level 3: Question 37

Lecture 60 Level 3: Question 38

Lecture 61 Level 3: Question 39

Lecture 62 Level 3: Question 40

Section 3: Azure Databricks / Spark / Pyspark Interview Questions

Lecture 63 Level 1: Question 1

Lecture 64 Level 1: Question 2

Lecture 65 Level 1: Question 3

Lecture 66 Level 1: Question 4

Lecture 67 Level 1: Question 5

Lecture 68 Level 1: Question 6

Lecture 69 Level 1: Question 7

Lecture 70 Level 1: Question 8

Lecture 71 Level 1: Question 9

Lecture 72 Level 1: Question 10

Section 4: Azure Databricks / Spark / Pyspark Tough Questions with practical explanation

Lecture 73 Level 2: Question 11

Lecture 74 Level 2: Question 12

Lecture 75 Level 2: Question 15

Lecture 76 Level 2: Question 16

Lecture 77 Level 2: Question 17

Lecture 78 Level 2: Question 19

Lecture 79 Level 2: Question 20

Section 5: Azure Databricks / Spark / Pyspark Real Scenario based Question with explanation

Lecture 80 Level 3: Question 21

Lecture 81 Level 3: Question 22

Lecture 82 Level 3: Question 24

Lecture 83 Level 3: Question 25

Lecture 84 Level 3: Question 26

Lecture 85 Level 3: Question 27

Lecture 86 Level 3: Question 29

Lecture 87 Level 3: Question 30

Lecture 88 Level 3: Question 31

Lecture 89 Level 3: Question 32

Lecture 90 Level 3: Question 33

Lecture 91 Level 3: Question 34

Lecture 92 Level 3: Question 36

Lecture 93 Level 3: Question 37

Lecture 94 Level 3: Question 38

Lecture 95 Level 3: Question 40

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

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