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The DP-900 Exam covers the basics of data storage and processing in Azure, including data ingestion, transformation, and integration. It also covers the fundamentals of relational and non-relational databases, big data and analytics, and machine learning. DP-900 exam is suitable for IT professionals, developers, data analysts, and anyone interested in learning about Azure's data services.
NEW QUESTION # 153
Match the security components to the appropriate scenarios.
To answer, drag the appropriate component from the column on the left to its scenario on the right. Each component may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/sql/database-engine/configure-windows/configure-a-windows-firewall-for-database-engine-access?view=sql-server-ver15
https://docs.microsoft.com/en-us/azure/azure-sql/database/authentication-aad-overview
https://docs.microsoft.com/en-us/azure/azure-sql/database/always-encrypted-certificate-store-configure
NEW QUESTION # 154
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
NEW QUESTION # 155
Match the types of workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
Explanation
Box 1: Batch
Batch processing refers to the processing of blocks of data that have already been stored over a period of time.
Box 2: Streaming
Stream processing is a big data technology that allows us to process data in real-time as they arrive and detect conditions within a small period of time from the point of receiving the data. It allows us to feed data into analytics tools as soon as they get generated and get instant analytics results.
Box 3: Batch
NEW QUESTION # 156
Match the Azure services to the appropriate requirements.
To answer, drag the appropriate service from the column on the left to its requirement on the right. Each
service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
Explanation
Box 1: Azure Data Factory
Box 2: Azure Data Lake Storage
Azure Data Lake Storage (ADLA) now natively supports Parquet files. ADLA adds a public preview of the
native extractor and outputter for the popular Parquet file format
Box 3: Azure Synapse Analytics
Use Azure Synapse Analytics Workspaces.
NEW QUESTION # 157
In a fully denormalized database, how is data read and written for a single entity?
Answer: B
NEW QUESTION # 158
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