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Microsoft DP-600 Exam Syllabus Topics:

SectionWeightObjectives
Secure and monitor data solutions15-20%- Secure data solutions
  • 1. Configure sensitive data classifications
  • 2. Configure workspace and item permissions
  • 3. Implement column-level and row-level security
  • 4. Use Microsoft Purview for data governance
- Monitor data solutions
  • 1. Use OneLake monitoring capabilities
  • 2. Review and analyze capacity metrics
  • 3. Monitor pipeline and dataflow execution
  • 4. Implement alerting and notifications
Load and prepare data20-25%- Ingest data from source systems
  • 1. Use Data Factory data flow for transformation
  • 2. Ingest data using PySpark or Spark SQL
  • 3. Use Data Factory copy activity for batch ingestion
  • 4. Configure Data Gateway for hybrid scenarios
  • 5. Implement streaming data ingestion with Eventstream
- Create and configure items
  • 1. Create and configurehortcuts
  • 2. Configure data processing with notebooks
  • 3. Create and configure Lakehouse, Warehouse, or data pipeline
Clean, transform, and enrich data25-30%- Transform data
  • 1. Use Spark libraries for data transformation
  • 2. Use Dataflow Gen2 for transformations
  • 3. Perform schema evolution and mapping
  • 4. Implement data standardization and normalization
- Enrich data
  • 1. Implement incremental data loading
  • 2. Merge and join data sources
  • 3. Implement slowly changing dimensions (SCD)
- Clean data
  • 1. Apply data cleansing techniques
  • 2. Validate data quality using Data Quality Profiling
  • 3. Handle missing values and duplicates
Design and manage the data model20-25%- Design a data model
  • 1. Define relationships and hierarchies
  • 2. Implement dimension and fact tables
  • 3. Choose appropriate data model type (lakehouse vs warehouse)
  • 4. Design a star or snowflake schema
- Implement and configure a data model
  • 1. Create and manage semantic models
  • 2. Use DirectLake mode for large datasets
  • 3. Implement row-level security (RLS)
  • 4. Configure SQL analytics endpoint
Deploy and maintain a data solution10-15%- Maintain a data solution
  • 1. Manage workspace and capacity settings
  • 2. Implement data refresh strategies
  • 3. Optimize query performance
- Deploy data assets
  • 1. Automate deployments using APIs and scripts
  • 2. Implement CI/CD for Fabric items
  • 3. Use deployment pipelines for development to production

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q165-Q170):

NEW QUESTION # 165
You have a Fabric tenant that contains a Microsoft Power Bl report named Report 1. Report1 includes a Python visual. Data displayed by the visual is grouped automatically and duplicate rows are NOT displayed. You need all rows to appear in the visual. What should you do?

Answer: A


NEW QUESTION # 166
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Fabric tenant that contains a lakehouse named Lakehousel. Lakehousel contains a Delta table named Customer.
When you query Customer, you discover that the query is slow to execute. You suspect that maintenance was NOT performed on the table.
You need to identify whether maintenance tasks were performed on Customer.
Solution: You run the following Spark SQL statement:
DESCRIBE DETAIL customer
Does this meet the goal?

Answer: B


NEW QUESTION # 167
You have Fabric tenant that contains four workspaces named Development, Test, QA, and Production. All the workspaces are in Premium Per User (PPU) license mode.
You plan to use a release pipeline to support the development lifecycle from Development to Production.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation:


NEW QUESTION # 168
You have a Fabric tenant that contains JSON files in OneLake. The files have one billion items.
You plan to perform time series analysis of the items.
You need to transform the data, visualize the data to find insights, perform anomaly detection, and share the insights with other business users. The solution must meet the following requirements:
* Use parallel processing.
* Minimize the duplication of data.
* Minimize how long it takes to load the data.
What should you use to transform and visualize the data?

Answer: A


NEW QUESTION # 169
Hotspot Question
You have a Fabric workspace that uses the default Spark starter pool and runtime version 1.2.
You plan to read a CSV file named Sales_raw.csv in a lakehouse, select columns, and save the data as a Delta table to the managed area of the lakehouse. Sales_raw.csv contains 12 columns.
You have the following code.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 170
......

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