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    Crack Azure Data Engineering By Interview Preparation Course

    Posted By: ELK1nG
    Crack Azure Data Engineering By Interview Preparation Course

    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