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Microsoft DP-700
In Real Exam At Testing Centre
Exact Questions as in Real Exam Word by Word
Microsoft DP-700 Questions and Answers
You have a Fabric workspace.
You have semi-structured data.
You need to read the data by using T-SQL, KQL, and Apache Spark. The data will only be written by using Spark.
What should you use to store the data?
You have a Fabric workspace named Workspace1 that contains a warehouse named Warehouse2. A team of data analysts has Viewer role access to Workspace1. You create a table by running the following statement.
You need to ensure that the team can view only the first two characters and the last four characters of the Creditcard attribute.
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 have a Fabric workspace that contains a Real-Time Intelligence solution and an eventhouse.
Users report that from OneLake file explorer, they cannot see the data from the eventhouse.
You enable OneLake availability for the eventhouse.
What will be copied to OneLake?
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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 03 Apr 2025
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