GitHub - ravikiran-srini/DP-700-Practice-Test-Exam-lab-files: This repository contains sample lab files that are used to demo in my DP-700 Practice Test Course in Udemy.

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[Contoware Analytics Modernization] Q2. POS source data in Azure SQL database		[Contoware Analytics Modernization] Q2. POS source data in Azure SQL database
[Contoware Analytics Modernization] Q3. Access Contoware data from bronze layer		[Contoware Analytics Modernization] Q3. Access Contoware data from bronze layer
[Contoware Analytics Modernization] Q4. Incrementally load data		[Contoware Analytics Modernization] Q4. Incrementally load data
[Contoware Analytics Modernization] Q5. Incrementally load JSON data		[Contoware Analytics Modernization] Q5. Incrementally load JSON data
[Contoware Analytics Modernization] Q6. Quarantine rows & create DimProduct		[Contoware Analytics Modernization] Q6. Quarantine rows & create DimProduct
Access permissions to lakehouse data via PySpark and SQL - 1.zip		Access permissions to lakehouse data via PySpark and SQL - 1.zip
Access permissions to lakehouse data via PySpark and SQL - 2.zip		Access permissions to lakehouse data via PySpark and SQL - 2.zip
Analyze PySpark code in Fabric notebook.zip		Analyze PySpark code in Fabric notebook.zip
Assign permissions for appending data to a lakehouse table.zip		Assign permissions for appending data to a lakehouse table.zip
Capture row-level changes in a Fabric eventstream.txt		Capture row-level changes in a Fabric eventstream.txt
Cast data type without errors in Fabric warehouse.txt		Cast data type without errors in Fabric warehouse.txt
Choose a DMV to identify user logins.zip		Choose a DMV to identify user logins.zip
Choose a query for data transformation for a KQL table.txt		Choose a query for data transformation for a KQL table.txt
Complete the given KQL query.txt		Complete the given KQL query.txt
Connect to a semantic model from Jupyter notebook.zip		Connect to a semantic model from Jupyter notebook.zip
Construct KQL queries based on visits data.txt		Construct KQL queries based on visits data.txt
Create KQL table with columns of appropriate data type.txt		Create KQL table with columns of appropriate data type.txt
Creating a unique constraint in Fabric Data Warehouse.txt		Creating a unique constraint in Fabric Data Warehouse.txt
Data loading pattern in a delta table.zip		Data loading pattern in a delta table.zip
Design a Fabric pipeline to dynamically refresh and load data.zip		Design a Fabric pipeline to dynamically refresh and load data.zip
Detect and track changes in SCD Type 2 dimension table in Fabric Warehouse.txt		Detect and track changes in SCD Type 2 dimension table in Fabric Warehouse.txt
Determine the order of child notebook execution in a DAG.zip		Determine the order of child notebook execution in a DAG.zip
Give granular access to a user for deleting rows in a warehouse table.zip		Give granular access to a user for deleting rows in a warehouse table.zip
Grant the minimum permissions for Column-level security.txt		Grant the minimum permissions for Column-level security.txt
Implement Dynamic Data Masking for email and salary columns.txt		Implement Dynamic Data Masking for email and salary columns.txt
Implement row-level security in a Fabric warehouse.txt		Implement row-level security in a Fabric warehouse.txt
Incrementally update data using a merge operation.ipynb		Incrementally update data using a merge operation.ipynb
Load data into lakehouse from Azure SQL with public access disabled.zip		Load data into lakehouse from Azure SQL with public access disabled.zip
Mirror data with Eventhouse OneLake availability.txt		Mirror data with Eventhouse OneLake availability.txt
Model dimension table in a Fabric Warehouse.zip		Model dimension table in a Fabric Warehouse.zip
Optimize performance while loading data in a warehouse.zip		Optimize performance while loading data in a warehouse.zip
Process a Lakehouse dataset.zip		Process a Lakehouse dataset.zip
Queries run frequently in the last 24 hours.txt		Queries run frequently in the last 24 hours.txt
README.md		README.md
Resolve the performance issues of a Power BI report.txt		Resolve the performance issues of a Power BI report.txt
Use ranking functions in KQL.txt		Use ranking functions in KQL.txt
Using Group By operators in a Fabric warehouse.txt		Using Group By operators in a Fabric warehouse.txt
Using update policy for a KQL table.txt		Using update policy for a KQL table.txt
Write a KQL query to return previous values.txt		Write a KQL query to return previous values.txt

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