Mastering Azure Synapse Analytics Practice Exam
Mastering Azure Synapse Analytics Practice Exam
About Mastering Azure Synapse Analytics Exam
The Mastering Azure Synapse Analytics exam evaluates candidates on their ability to design, implement, and manage analytical solutions using Azure Synapse Analytics. This includes the integration of data from various sources, building data pipelines, managing data lakes, and delivering actionable insights through data visualization and reporting. The exam tests proficiency in leveraging Azure Synapse Studio, SQL on-demand, and Spark pools to implement end-to-end data solutions. It also focuses on optimizing performance, managing security, and ensuring compliance in analytics workflows.
Skills Required
- Expertise in connecting and integrating structured, semi-structured, and unstructured data from diverse sources.
- Understanding data warehouse architecture and implementation using dedicated SQL pools.
- Hands-on experience with distributed data processing frameworks, such as Spark.
- Ability to create, monitor, and manage data pipelines using Synapse Pipelines.
- Strong command over T-SQL for querying and manipulating data.
- Skills in creating insightful dashboards and reports using Power BI and Synapse Analytics.
- Knowledge of techniques to improve query performance, optimize resource allocation, and manage workloads.
- Familiarity with role-based access control (RBAC), encryption, and other security best practices in Azure Synapse.
- Ability to identify and resolve issues in data pipelines, Spark jobs, and query performance.
Who should take the Exam?
This exam is ideal for professionals looking to advance their expertise in data analytics and Azure Synapse Analytics:
- Data Engineers
- Business Intelligence Developers
- Looking to process and analyze large datasets for predictive analytics and machine learning.
- Database Administrators
- IT Professionals
- Decision Makers and Analysts
Course Outline
The Mastering Azure Synapse Analytics Exam covers the following topics -
Domain 1 - Course Introduction
- Why Enroll in This Course?
- Course Overview
Domain 2 - Azure Synapse Analytics
- Introduction to Synapse Analytics
- Why Cloud-Based Data Warehousing
- Comparing Traditional vs. Modern Data Warehouse Architecture
- Overview of Synapse Analytics Service
- Demo: Creating a Dedicated SQL Pool
- Demo: Connecting Dedicated SQL Pool with SSMS
- Demo: Setting Up Azure Synapse Analytics Studio Workspace
- Demo: Exploring Synapse Studio V2
- Demo: Creating Dedicated SQL Pool and Spark Pool
- Demo: Analyzing Data with Dedicated SQL Pool
Domain 3 - Data Warehouse Internals and Architecture
- Introduction
- Overview of Azure Synapse MPP Architecture
- Storage and Sharding Strategies
- Data Distribution and Distributing Keys
- Data Types and Table Structures
- Partitioning Best Practices
- Optimal Practices for Fact and Dimension Tables
- Demo: Analyzing Data Distribution Pre-Migration to Azure Synapse
Domain 4 - Data Migration
- Introduction
- Top 5 Best Practices for Data Loading
- Exploring Different Loading Methods
- Loading with SSIS vs. PolyBase
- Demo: Data Loading with SSIS
- Demo: Data Loading with PolyBase
- Demo: Data Loading with Data Factory
- Summary
- Assignment - Lab Request
- Assignment - Lab Solution
Domain 5 - Security Layers
- Introduction to Advanced Data Security
- Auditing and Compliance
- Network Security Measures
- Transparent Data Encryption
- Dynamic Data Masking
- Access Management
Domain 6 - Configuration and Optimization
- Introduction to Configuration Options
- Performing Common Tasks
- Backup and Restore Procedures
- Price Optimization Techniques
- Monitoring Best Practices
- Support and Troubleshooting Techniques
- Managing Workloads Efficiently
- Deleting Resources
Domain 7 - Data Warehouse Crash Course
- Introduction to Data Warehousing
- The Importance of Data Warehousing
- Characteristics of an Ideal Data Warehouse Solution
- Role of the Data Warehouse Designer
- SQL Server (OLTP) vs. Data Warehousing (OLAP)
- Dimensional Modeling Concepts
- Understanding Fact and Fact Tables
- Understanding Dimensions and Dimension Tables
- Star Schema vs. Snowflake Schema
