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Free DP-900 Exam Braindumps (page: 37)

Page 36 of 72
PDF with 306 Questions

HOTSPOT (Drag and Drop is not supported)
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

  1. See Explanation section for answer.

Answer(s): A

Explanation:



Box 1: No
The API determines the type of account to create. Azure Cosmos DB provides five APIs: Core (SQL) and MongoDB for document data, Gremlin for graph data, Azure Table, and Cassandra. Currently, you must create a separate account for each API.

Box 2: Yes
Azure Cosmos DB uses partitioning to scale individual containers in a database to meet the performance needs of your application. In partitioning, the items in a container are divided into distinct subsets called logical partitions. Logical partitions are formed based on the value of a partition key that is associated with each item in a container.

Box 3: No
Logical partitions are formed based on the value of a partition key that is associated with each item in a container.


Reference:

https://docs.microsoft.com/en-us/azure/cosmos-db/partitioning-overview



Your company is designing an application that will write a high volume of JSON data and will have an application-defined schema.

Which type of data store should you use?

  1. columnar
  2. key/value
  3. document
  4. graph

Answer(s): C



You need to recommend a non-relational data store that is optimized for storing and retrieving text files, videos, audio streams, and virtual disk images. The data store must store data, some metadata, and a unique ID for each file.

Which type of data store should you recommend?

  1. key/value
  2. columnar
  3. object
  4. document

Answer(s): C

Explanation:

Object storage is optimized for storing and retrieving large binary objects (images, files, video and audio streams, large application data objects and documents, virtual machine disk images). Large data files are also popularly used in this model, for example, delimiter file (CSV), parquet, and ORC. Object stores can manage extremely large amounts of unstructured data.


Reference:

https://docs.microsoft.com/en-us/azure/architecture/guide/technology-choices/data-store-overview



Your company is designing a data store for internet-connected temperature sensors.
The collected data will be used to analyze temperature trends.

Which type of data store should you use?

  1. relational
  2. time series
  3. graph
  4. columnar

Answer(s): B

Explanation:

Time series data is a set of values organized by time. Time series databases typically collect large amounts of data in real time from a large number of sources. Updates are rare, and deletes are often done as bulk operations. Although the records written to a time-series database are generally small, there are often a large number of records, and total data size can grow rapidly.


Reference:

https://docs.microsoft.com/en-us/azure/architecture/guide/technology-choices/data-store-overview






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