AZ-800 Practice Test Overview: Ace Your Exam!
This outline will help you prepare for the AZ-800 exam. Think of it as your roadmap to success! We'll cover everything you need to know, from the test format to the key topics. Let's get started.
I. Exam Details:
- Total Questions: Approximately 40-60 (The exact number varies slightly, but expect a solid exam). Don't let the number intimidate you—preparation is key!
- Target Job Roles: This exam is perfect if you're aiming for roles like:
- Azure Data Engineer
- Data Scientist
- Data Analyst (with a focus on Azure)
- Cloud Solutions Architect (with a data focus)
- Database Administrator (working with Azure)
- Language: English
II. Key Coverage Areas:
This section breaks down the exam's core concepts. Remember, understanding the why behind the concepts is just as important as knowing the how*.
A. Data Storage: This is the foundation—where your data lives!
- Blob Storage: Think of it as your cloud-based filing cabinet for unstructured data: images, videos, documents. We'll cover different blob types, access tiers, and lifecycle management.
- Azure Files: Need managed file shares? This is your solution. We'll look at scaling, access control, and integration with other Azure services.
- Azure Queues: These are for asynchronous communication—a great way to manage tasks and handle large workloads efficiently. Imagine a to-do list for your applications.
- Azure Cosmos DB: A NoSQL database solution that handles massive scale. Crucial to understand different data models (document, graph, key-value, etc.).
- Azure SQL Database: Your go-to for relational database needs in the cloud. We’ll cover different deployment models, performance tuning, and security.
- Azure Data Lake Storage Gen2: For massive-scale data lakes—that's a place to store your big data before crunching it.
B. Data Processing: This is where the magic happens—transforming your raw data into valuable insights.
- Azure Databricks: A collaborative Apache Spark-based analytics platform—think big data processing made easy.
- Azure Data Factory: Used to create and manage data pipelines, automating the movement and transformation of data between various sources and sinks.
- Azure Synapse Analytics: A highly scalable data warehouse solution. Imagine it as your high-performance data analysis engine.
- Azure HDInsight: For working with Hadoop, Spark, and other big data frameworks in the cloud.
C. Data Management and Governance: Keeping your data safe and accessible is crucial!
- Data Security and Compliance: We'll explore different ways to protect your sensitive data: encryption, access control, and auditing. This is critical!
- Data Governance: Enforcing policies and guidelines to ensure data quality and compliance. Think of it as creating a robust framework to manage your data.
- Monitoring and Logging: Keeping an eye on your data infrastructure's health. We'll go through different monitoring tools and techniques available in Azure.
D. Data Visualization and Analytics: Turning data into actionable information.
- Power BI: Tools to create compelling visualizations and share insights with others. It's all about storytelling with your data.
- Azure Machine Learning: If you're into predictive analytics and AI, this is a crucial section.
III. Practice Test Structure:
The practice test will mirror the real exam, testing your knowledge across all the areas mentioned above. Expect a mix of question types, including multiple-choice, true/false, and case studies.
Remember: This outline provides a comprehensive overview. Supplement it with official Microsoft documentation and hands-on experience in Azure. Good luck!
