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Microsoft DP-600 Exam Syllabus Topics:

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

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q146-Q151):

NEW QUESTION # 146
You have a Fabric workspace named Workspace1 that contains a KQL database The database contains a table named Table1. Workspace1 is allocated to an F 128 capacity. Table1 contains 10 billion rows and 25 columns named d through c25. Column cl contains identifiers that range from 1 to 15 and are equally distributed.
You have the following query.

You modify the query as shown.

How will the execution time of the query be affected?

Answer: D


NEW QUESTION # 147
You have a Fabric tenant that contains a semantic model. The model uses Direct Lake mode.
You suspect that some DAX queries load unnecessary columns into memory.
You need to identify the frequently used columns that are loaded into memory.
What are two ways to achieve the goal? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point.

Answer: B,C

Explanation:
The Vertipaq Analyzer tool (B) and querying the $system.
discovered_STORAGE_TABLE_COLUMNS_IN_SEGMENTS dynamic management view (DMV) (C) can help identify which columns are frequently loaded into memory. Both methods provide insights into the storage and retrieval aspects of the semantic model. References = The Power BI documentation on Vertipaq Analyzer and DMV queries offers detailed guidance on how to use these tools for performance analysis.


NEW QUESTION # 148
You have a Fabric tenant that contains two workspaces named Workspace1 and Workspace2 and a user named User1.
You need to ensure that User1 can perform the following tasks:
* Create a new domain.
* Create two subdomains named subdomain1 and subdomain2.
* Assign Workspace1 to subdomain1.
* Assign Workspace2 to subdomain2.
The solution must follow the principle of least privilege.
Which role should you assign to User1?

Answer: B


NEW QUESTION # 149
You need to create a data loading pattern for a Type 1 slowly changing dimension (SCD).
Which two actions should you include in the process? Each correct answer presents part of the solution.
NOTE: Each correct answer is worth one point.

Answer: B,C


NEW QUESTION # 150
You have a Fabric warehouse that contains a table named Sales.Products. Sales.Products contains the following columns.

You need to write a T-SQL query that will return the following columns.

How should you complete the code? To answer, select the appropriate options in the answer area.

Answer:

Explanation:

Explanation:
For the HighestSellingPrice, you should use the GREATEST function to find the highest value from the given price columns. However, T-SQL does not have a GREATEST function as found in some other SQL dialects, so you would typically use a CASE statement or an IIF statement with nested MAX functions. Since neither of those are provided in the options, you should select MAX as a placeholder to indicate the function that would be used to find the highest value if combining multiple MAX functions or a similar logic was available.
For the TradePrice, you should use the COALESCE function, which returns the first non-null value in a list.
The COALESCE function is the correct choice as it will return AgentPrice if it ' s not null; if AgentPrice is null, it will check WholesalePrice, and if that is also null, it will return ListPrice.
The complete code with the correct SQL functions would look like this:
SELECT ProductID,
MAX(ListPrice, WholesalePrice, AgentPrice) AS HighestSellingPrice, -- MAX is used as a placeholder COALESCE(AgentPrice, WholesalePrice, ListPrice) AS TradePrice FROM Sales.Products Select MAX for HighestSellingPrice and COALESCE for TradePrice in the answer area.


NEW QUESTION # 151
......

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