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
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