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What should you use to build a Microsoft Power BI paginated report?

A.
Charticulator
A.
Charticulator
Answers
B.
Power BI Desktop
B.
Power BI Desktop
Answers
C.
the Power BI service
C.
the Power BI service
Answers
D.
Power BI Report Builder
D.
Power BI Report Builder
Answers
Suggested answer: D

Explanation:

Section: Describe an analytics workload on Azure

Power BI Report Builder is the standalone tool for authoring paginated reports for the Power BI service.

Reference:

https://docs.microsoft.com/en-us/power-bi/paginated-reports/paginated-reports-report-builder-power-bi

You have a SQL query that combines customer data and order data. The query includes calculated columns.

You need to persist the SQL query so that other users can use the query.

What should you create?

A.
an index
A.
an index
Answers
B.
a view
B.
a view
Answers
C.
a scalar function
C.
a scalar function
Answers
D.
a table
D.
a table
Answers
Suggested answer: B

Explanation:

Section: Describe core data concepts

A view is a virtual table whose contents are defined by a query. A view acts as a filter on the underlying tables referenced in the view. The query that defines the view can be from one or more tables or from other views in the current or other databases.

Reference:

https://docs.microsoft.com/en-us/sql/relational-databases/views/views

What are two characteristics of real-time data processing? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.
Data is processed periodically
A.
Data is processed periodically
Answers
B.
Low latency is expected
B.
Low latency is expected
Answers
C.
High latency is acceptable
C.
High latency is acceptable
Answers
D.
Data is processed as it is created
D.
Data is processed as it is created
Answers
Suggested answer: B, D

Explanation:

Section: Describe core data concepts

Real time processing deals with streams of data that are captured in real-time and processed with minimal latency to generate real-time (or near-real-time) reports or automated responses.

Reference: https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-data/real-time-processing

You are deploying a software as a service (SaaS) application that requires a relational database for Online Transaction Processing (OLTP).

Which Azure service should you use to support the application?

A.
Azure Cosmos DB
A.
Azure Cosmos DB
Answers
B.
Azure HDInsight
B.
Azure HDInsight
Answers
C.
Azure SQL Database
C.
Azure SQL Database
Answers
D.
Azure Synapse Analytics
D.
Azure Synapse Analytics
Answers
Suggested answer: C

Explanation:

Section: Describe how to work with relational data on Azure

Azure SQL Database is relational database and a managed service.

Incorrect Answers:

A, B: Cosmos DB, HDInsight are non-relational databases.

D: Azure Synapse Analytics is for data warehousing, not for Online Transaction Processing

Reference: https://cloud.netapp.com/blog/azure-cvo-blg-azure-database-review-your-guide-for-database-assessment

What are two benefits of platform as a service (PaaS) relational database offerings in Azure, such as Azure SQL Database? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.
access to the latest features
A.
access to the latest features
Answers
B.
complete control over backup and restore processes
B.
complete control over backup and restore processes
Answers
C.
in-database machine learning services
C.
in-database machine learning services
Answers
D.
reduced administrative effort for managing the server infrastructure
D.
reduced administrative effort for managing the server infrastructure
Answers
Suggested answer: A, C

When you create an Azure SQL database, which account can always connect to the database?

A.
the Azure Active Directory (Azure AD) account that created the database
A.
the Azure Active Directory (Azure AD) account that created the database
Answers
B.
the server admin login account of the logical server
B.
the server admin login account of the logical server
Answers
C.
the Azure Active Directory (Azure AD) administrator account
C.
the Azure Active Directory (Azure AD) administrator account
Answers
D.
the sa account
D.
the sa account
Answers
Suggested answer: B

Explanation:

Section: Describe how to work with relational data on Azure

When you first deploy Azure SQL, you specify an admin login and an associated password for that login. This administrative account is called Server admin.

Reference:

https://docs.microsoft.com/en-us/azure/azure-sql/database/single-database-create-quickstart

When provisioning an Azure Cosmos DB account, which feature provides redundancy within an Azure region?

A.
multi-master replication
A.
multi-master replication
Answers
B.
Availability Zones
B.
Availability Zones
Answers
C.
the strong consistency level
C.
the strong consistency level
Answers
D.
automatic failover
D.
automatic failover
Answers
Suggested answer: B

Explanation:

Section: Describe how to work with non-relational data on Azure

With Availability Zone (AZ) support, Azure Cosmos DB will ensure replicas are placed across multiple zones within a given region to provide high availability and resiliency to zonal failures.

Note: Azure Cosmos DB provides high availability in two primary ways. First, Azure Cosmos DB replicates data across regions configured within a Cosmos account. Second, Azure Cosmos DB maintains 4 replicas of data within a region.

Reference:

https://docs.microsoft.com/en-us/azure/cosmos-db/high-availability

What is a benefit of the Azure Cosmos DB Table API as compared to Azure Table storage?

A.
provides resiliency if an Azure region fails
A.
provides resiliency if an Azure region fails
Answers
B.
supports partitioning
B.
supports partitioning
Answers
C.
provides a higher storage capacity
C.
provides a higher storage capacity
Answers
D.
supports a multi-master model
D.
supports a multi-master model
Answers
Suggested answer: D

Explanation:

Section: Describe how to work with non-relational data on Azure

Multi-master support for Azure Cosmos DB is now available in all public regions.

Azure CosmosDB table API is a key-value storage hosted in the cloud. It's a part of Azure Cosmos DB, that is Microsoft's multi-model database.

Reference:

https://docs.microsoft.com/en-us/azure/cosmos-db/table-support

Your company needs to design a database that illustrates the relationships between utilization levels of individual network devices across a local area network.

Which type of data store should you use?

A.
graph
A.
graph
Answers
B.
key/value
B.
key/value
Answers
C.
document
C.
document
Answers
D.
columnar
D.
columnar
Answers
Suggested answer: A

Explanation:

Section: Describe how to work with non-relational data on Azure

Data as it appears in the real world is naturally connected. Traditional data modeling focuses on defining entities separately and computing their relationships at runtime. While this model has its advantages, highly connected data can be challenging to manage under its constraints.

A graph database approach relies on persisting relationships in the storage layer instead, which leads to highly efficient graph retrieval operations. Azure Cosmos DB's Gremlin API supports the property graph model.

Reference:

https://docs.microsoft.com/en-us/azure/cosmos-db/graph-introduction#introduction-to-graph-databases

What are two uses of data visualization? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.
Represent trends and patterns over time
A.
Represent trends and patterns over time
Answers
B.
Implement machine learning to predict future values
B.
Implement machine learning to predict future values
Answers
C.
Communicate the significance of data
C.
Communicate the significance of data
Answers
D.
Consistently implement business logic across reports
D.
Consistently implement business logic across reports
Answers
Suggested answer: A, C

Explanation:

Section: Describe an analytics workload on Azure

Data visualization is a key component in being able to gain insight into your data. It helps make big and small data easier for humans to understand. It also makes it easier to detect patterns, trends, and outliers in groups of data. Data visualization brings data to help you find key business insights quickly and effectively.

Reference: https://docs.microsoft.com/en-us/azure/synapse-analytics/spark/apache-spark-data-visualization

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