Free Coupon Code Microsoft DP-700: Data Engineering Using MS Fabric 2025 100% OFF

Udemy Free coupon code for Microsoft DP-700: Data Engineering Using MS Fabric 2025 course taught by Sanjay Parmar, which has 1,187 students and is rated 0.0 out of 0 votes. This course is about in English and was updated on April 22, 2025. You can use this Udemy course with a free certificate and find the coupon at the bottom of this page.

Prepare for DP-700 | Data Loading | Orchestration | Security | Optimization with SQL, PySpark, and KQL | Analytics

Get ready to excel in the Microsoft DP-700 exam with our comprehensive practice test series focused on Data Engineering Solutions Using Microsoft Fabric. This course is designed for anyone looking to master the essential skills needed to pass the DP-700 certification and advance in data engineering.

Our practice tests cover all the critical topics for the DP-700, including data loading patterns, orchestration processes, data ingestion and transformation, security, optimisation, and analytics. You’ll explore tools like SQL, PySpark, and Kusto Query Language (KQL) as you learn how to build, secure, and optimise analytics solutions within Microsoft Fabric.

With five practice tests containing 30 questions each, this course offers a range of multiple-choice and multiple-select questions that reflect real exam scenarios with detailed explanations provided for every answer. This means you won’t just practice—you’ll learn and understand the concepts behind each question.

Course Outline

Practice Test 1: Data Loading Patterns and Architecture for Microsoft DP-700

• Objective: Assess knowledge of data loading strategies and architecture design.

• Data loading patterns and ETL (Extract, Transform, Load) processes

• Data storage and retrieval in Microsoft Fabric

• Architecture fundamentals: data lakes, data warehouses, and relational databases

• Designing data storage solutions for analytics

• Microsoft Fabric components for data ingestion and architecture

Practice Test 2: Data Ingestion and Transformation for Microsoft DP-700

• Objective: Test proficiency in data ingestion and transformation using SQL, PySpark, and KQL.

• Data ingestion techniques in Microsoft Fabric

• Transforming and cleaning data with SQL

• Data manipulation and transformation using PySpark

• Querying and transforming data with Kusto Query Language (KQL)

• Optimizing data workflows for efficiency and scalability

Practice Test 3: Orchestration Processes and Automation for Microsoft DP-700

• Objective: Evaluate understanding of orchestration and automation within data engineering workflows.

• Orchestrating data pipelines in Microsoft Fabric

• Automation techniques for data workflows

• Scheduling and triggering data ingestion processes

• Monitoring and managing data pipelines

• Implementing error handling and logging

Practice Test 4: Security and Data Governance for Microsoft DP-700

• Objective: Test knowledge of securing and managing data analytics solutions.

• Data security practices in Microsoft Fabric

• Managing data access controls and permissions

• Implementing data governance policies

• Ensuring compliance and data privacy

• Monitoring and auditing access to data resources

Practice Test 5: Optimization, Monitoring, and Analytics Solutions for Microsoft DP-700

• Objective: Assess skills in optimizing analytics solutions and monitoring data workflows.

• Techniques for performance tuning and query optimization

• Monitoring data solutions and analytics workflows

• Troubleshooting data issues and workflow bottlenecks

• Leveraging analytics for reporting and insights

• Collaborating with analytics engineers and architects to enhance solutions

The questions test your knowledge in real-world data engineering tasks, such as designing data architectures, managing data security, and monitoring and optimizing analytics solutions. Our course is ideal for data professionals, aspiring data engineers, and anyone preparing to Ace Exam DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric (beta).