Hadoop and Azure HDInsight Practice Exam
Hadoop and Azure HDInsight Practice Exam
About Hadoop and Azure HDInsight Exam
Hadoop is a framework that helps process large amounts of data by distributing it across multiple computers. It allows businesses to manage and analyze big data more efficiently. Azure HDInsight is a cloud-based service from Microsoft that makes Hadoop easier to use by providing pre-configured clusters, reducing the complexity of setting up and managing Hadoop environments. This course covers Hadoop basics, the challenges it solves, and how Azure HDInsight simplifies big data processing.
Skills Required
- Basic understanding of databases
- Familiarity with Microsoft Azure is helpful but not required
- Knowledge of T-SQL can make learning easier
- Interest in data processing and big data technologies
Knowledge Area
- Hadoop architecture and its components
- Cloud computing with Microsoft Azure
- Managing data using Azure HDInsight
- Extracting, transforming, and loading data using Hive
- Connecting and storing processed data in SQL Server
Who should take the Exam?
- Beginners in Microsoft Azure who want to work with big data
- Aspiring Azure Data Engineers looking to build skills in data processing
- Data Scientists, Database Administrators, and BI Developers who work with large datasets
- Data Analysts who want to use Hadoop and cloud technologies for data management
- IT professionals with experience in on-premises databases who want to transition to cloud-based data solutions
Course Outline
The Hadoop and Azure HDInsight Exam covers the following topics -
Domain 1 - Getting Started with the Course
- Introduction to the course and what you will learn
Domain 2 - Understanding Azure Cloud Computing
- How to create a free Azure account
- Navigating and using the Azure Portal
- Overview of different services available in Azure
- Managing resources, subscriptions, and groups in Azure
- Organizing resources using tags
- Removing unused resources and setting budget limits
Domain 3 - Introduction to Hadoop
- Basics of Hadoop and its role in data processing
- Why large-scale data processing needs distributed computing
- Two different approaches to building computing systems
- Understanding what Hadoop is and how it works
- Comparing Hadoop with traditional databases (RDBMS)
- Summary of Hadoop’s advantages in big data environments
Domain 4 - Exploring HDInsight on Azure
- Understanding why traditional Hadoop setups are complex
- How Azure HDInsight makes Hadoop easier to manage
- Key features and advantages of HDInsight
- Different types of clusters available in HDInsight
- Overview of HDInsight architecture and how it works
Domain 5 - Hands-On HDInsight Demonstration
- Overview of the hands-on demonstration
- Creating Azure Data Lake Storage Gen 2 as a source and SQL Server as a destination
- Understanding Managed Identity and its role in security
- Assigning Managed Identity to Gen2 storage and database accounts
- Setting up an HDInsight Interactive Query Cluster
- Overview of Ambari’s interface for managing clusters
- Loading data into Azure Data Lake Storage
- Extracting data using Hive queries
- Transforming and processing data with Hive
- Exporting processed data to SQL Server using Sqoop
- Summary of the demo and key takeaways
