Crack Azure Data Engineering by Interview Preparation Course
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 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
Who this course is for:
- 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
Instructor
Hi, I'm Deepak Goyal, a certified Big data, and Azure Cloud Solution Architect.
I have 13+ Years of experience in the IT industry and 10+ Years of experience in Big data world.
I was among the few who has worked on Hadoop Big data analytics (since the Year 2011) before the popular advancement and adoption of Public cloud providers like AWS, Microsoft Azure, or Google Cloud Platform (GCP)
I help businesses to define the data-driven architecture and make robust data platform over the cloud to scale up their business.
Writing about Microsoft Azure technologies is one of my favorite works outside the office.
I help people to understand cloud concepts and technologies like Azure Data Factory, Azure DataBricks, Apache Spark, Azure Synapse Analytics, Azure Key Vault, Encryption Decryption, Azure Blob Storage, Azure monitor, logging, Snowflake cloud data warehouse, and many more complex tools and technologies.
I am a famous Azure blogger, my blog ranks number 1 on google search for more than 100+ keywords.