Get instant Coupon on our Telegram ChannelPrepare for DP-700 | Data Loading | Orchestration | Security | Optimization with SQL, PySpark, and KQL | Analytics
Description
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, optimization, and analytics. You’ll explore tools like SQL, PySpark, and Kusto Query Language (KQL) as you learn how to build, secure, and optimize analytics solutions within Microsoft Fabric.
With five practice tests, this course offers a range of multiple-choice and multiple-select questions that reflect real exam scenarios with detailed explanations for every answer. This means you won’t just practice—you’ll learn and understand the concepts behind each question.
Course Contents :
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 data ingestion and transformation proficiency 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).
| Total Students | 12 |
|---|---|
| Original Price($) | |
| Sale Price | Free |
| Number of lectures | 0 |
| Number of quizzes | 5 |
| Total Reviews | 0 |
| Global Rating | 0 |
| Instructor Name | Kim Rosé | AWS Certified Cloud Practitioner, Architect, Developer |
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