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Microsoft DP-700
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Microsoft DP-700 Questions and Answers
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You need to troubleshoot the ad-hoc query issue.
How should you complete the statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
You need to ensure that the authors can see only their respective sales data.
How should you complete the statement? To answer, drag the appropriate values the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content
NOTE: Each correct selection is worth one point.
You need to resolve the sales data issue. The solution must minimize the amount of data transferred.
What should you do?
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Data engineering focuses on designing, building, and managing data pipelines to enable efficient data analysis. It is essential for transforming raw data into meaningful insights for businesses.
Data engineering deals with the infrastructure and processing of data, while data science focuses on analyzing and extracting insights from data using statistical and machine learning models.
Data ingestion, data storage, data transformation, data validation, orchestration, and data visualization.
Structured data is organized in a tabular format (e.g., databases), semi-structured data has some organization but lacks a fixed schema (e.g., JSON, XML), and unstructured data has no predefined structure (e.g., images, videos, text).
ETL transforms data before loading it into storage, while ELT loads raw data first and then applies transformations, often using cloud-based processing.
A data lake stores raw and processed data at scale, supporting analytics, machine learning, and real-time processing while maintaining cost efficiency.
Cloud solutions offer scalability, flexibility, and cost-effectiveness, while on-premises solutions provide greater control and security.
It provides seamless integration with various data sources through connectors, APIs, and streaming services.
Power BI acts as the visualization and reporting layer within Microsoft Fabric, making data insights accessible to business users.
It natively integrates with services like Azure Data Lake, Azure Machine Learning, and Azure AI for a cohesive data strategy.
Microsoft Fabric supports OneLake storage, which simplifies data management across different workloads and domains.
It follows Microsoft’s compliance standards, providing role-based access control (RBAC), encryption, and auditing features.
The DP-700 exam prep was exactly what I needed to build solid data engineering skills. Clear and practical guidance throughout.
TESTED 16 Jun 2025
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