Microsoft DP-900 Practice Test - Questions Answers, Page 4

List of questions
Question 31

HOTSPOT
To complete the sentence, select the appropriate option in the answer area.
Reference:
https://demand-planning.com/2020/01/20/the-differences-between-descriptive-diagnostic-predictive-cognitive-analytics/
Question 32

HOTSPOT
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Reference:
https://www.sqlshack.com/what-is-database-normalization-in-sql-server/
Question 33

HOTSPOT
To complete the sentence, select the appropriate option in the answer area.
Extract, transform, and load (ETL) is a data pipeline used to collect data from various sources, transform the data according to business rules, and load it into a destination data store.Reference: https://docs.microsoft.com/en-us/azure/ architecture/data-guide/relational-data/etl
Question 34

HOTSPOT
To complete the sentence, select the appropriate option in the answer area.
Reference:
https://www.bmc.com/blogs/what-is-batch-processing-batch-processing-explained/
Question 35

HOTSPOT
To complete the sentence, select the appropriate option in the answer area.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/speech-services/
Question 36

HOTSPOT
You have the following JSON document.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the JSON document.
NOTE: Each correct selection is worth one point.
Reference:
https://www.w3schools.com/js/js_json_arrays.asp
https://www.w3schools.com/js/js_json_objects.asp
Question 37

HOTSPOT
You are reviewing the data model shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point
Box 1: star schema In computing, the star schema is the simplest style of data mart schema and is the approach most widely used to develop data warehouses and dimensional data marts. The star schema consists of one or more fact tables referencing any number of dimension tables. The star schema is an important special case of the snowflake schema, and is more effective for handling simpler queries.
Example:
Incorrect Answers:
The data in the question is not normalized.
The snowflake schema is a variation of the star schema, featuring normalization of dimension tables. Example:
Note: A snowflake schema is a logical arrangement of tables in a multidimensional database such that the entity relationship diagram resembles a snowflake shape. The snowflake schema is represented by centralized fact tables which are connected to multiple dimensions.[citation needed]. "Snowflaking" is a method of normalizing the dimension tables in a star schema. When it is completely normalized along all the dimension tables, the resultant structure resembles a snowflake with the fact table in the middle.
Box 2: dimension
The star schema consists of one or more fact tables referencing any number of dimension tables.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-overview
https://en.wikipedia.org/wiki/Star_schema
https://en.wikipedia.org/wiki/Snowflake_schema
https://azure.microsoft.com/en-us/blog/data-models-within-azure-analysis-services-and-power-bi/
Question 38

HOTSPOT
You have the following JSON document.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the JSON document.
NOTE: Each correct selection is worth one point.
Reference:
https://www.w3schools.com/js/js_json_arrays.asp
https://www.w3schools.com/js/js_json_objects.asp
Question 39

HOTSPOT
To complete the sentence, select the appropriate option in the answer area.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/indexes/clustered-and-nonclustered-indexes-described?view=sql-server-ver15
Question 40

HOTSPOT
To complete the sentence, select the appropriate option in the answer area.
Disadvantages of non-relational databases include: Data Consistency β non-relational databases do not perform ACID transactions.
Note: Relational databases are optimized for writes. They are optimized for consistency and availability. Advantages of relational databases include simplicity, ease of data retrieval, data integrity, and flexibility.
Incorrect Answers:
Use a relational database when data that you work with is structured, and the structure is not subject to frequent changes.
Use Cloud storage (no relational database) for geographically distributed writes.
Reference:
https://towardsdatascience.com/choosing-the-right-database-c45cd3a28f77
Question