microsoft dp-900 online test

Question 1 Topic 1, Describe core data concepts

HOTSPOT
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

Answer:

Explanation:
Reference: https://demand-planning.com/2020/01/20/the-differences-between-descriptive-diagnostic-predictive-cognitive-
analytics/

Question 2 Topic 1, Describe core data concepts

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.
Hot Area:

Answer:

Explanation:
Reference: https://www.sqlshack.com/what-is-database-normalization-in-sql-server/

Question 3 Topic 1, Describe core data concepts

HOTSPOT
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

Answer:

Explanation:
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 4 Topic 1, Describe core data concepts

HOTSPOT
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

Answer:

Explanation:
Reference: https://www.bmc.com/blogs/what-is-batch-processing-batch-processing-explained/

Question 5 Topic 1, Describe core data concepts

HOTSPOT
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

Answer:

Explanation:
Reference: https://azure.microsoft.com/en-us/services/cognitive-services/speech-services/

Question 6 Topic 1, Describe core data concepts

DRAG DROP
Match the types of analytics that can be used to answer the business questions.
To answer, drag the appropriate analytics type from the column on the left to its question on the right. Each analytics type
may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Select and Place:

Answer:

Incorrect Predictive analytics, broadly speaking, is a category of business intelligence that uses
descriptive and predictive variables from the past to analyze and identify the likelihood of an unknown future
Descriptive, to answer the
Whys happening? Predictive, to answer the
What actions should we take?

Reference: https://demand-planning.com/2020/01/20/the-differences-between-descriptive-diagnostic-predictive-
cognitive-analytics/ https://azure.microsoft.com/en-us/blog/answering-whats-happening-whys-happening-and-
what-will-happen-with-iot-analytics/
Explanation:
Box 1: Diagnostic
Diagnostic Analytics: At this stage you can begin to answer some of those why questions. Historical data can begin to be
measured against other data to answer the question of why something happened in the past. This is the process of gathering
and interpreting different data sets to identify anomalies, detect patters, and determine relationships.
Box 2: Prescriptive
Prescriptive analytics is a combination of data, mathematical models, and various business rules to infer actions to influence
future desired outcomes.
Answer: Incorrect
Predictive analytics, broadly speaking, is a category of business intelligence that uses descriptive and predictive variables
from the past to analyze and identify the likelihood of an unknown future outcome
Box 3: Descriptive
Generally speaking, data analytics comes in four types:
Descriptive, to answer the question: Whats happening?
Diagnostic, to answer the question: Whys happening?
Predictive, to answer the question: What will happen?
Prescriptive, to answer the question: What actions should we take?

Reference: https://demand-planning.com/2020/01/20/the-differences-between-descriptive-diagnostic-predictive-cognitive-
analytics/ https://azure.microsoft.com/en-us/blog/answering-whats-happening-whys-happening-and-what-will-happen-with-
iot-analytics/

Question 7 Topic 1, Describe core data concepts

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.
Hot Area:

Answer:

Explanation:
Reference: https://www.w3schools.com/js/js_json_arrays.asp https://www.w3schools.com/js/js_json_objects.asp

Question 8 Topic 1, Describe core data concepts

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
Hot Area:

Answer:

Explanation:
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 9 Topic 1, Describe core data concepts

HOTSPOT
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

Answer:

Explanation:
Reference: https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/massively-parallel-processing-
mpp-architecture

Question 10 Topic 1, Describe core data concepts

HOTSPOT
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

Answer:

Explanation:
Reference: https://docs.microsoft.com/en-us/sql/relational-databases/indexes/clustered-and-nonclustered-indexes-
described?view=sql-server-ver15