• For a full set of 450+ questions. Go to https://skillcertpro.com/product/microsoft-azure-data-fundamentals-dp-900-exam-questions/ • SkillCertPro offers detailed explanations to each question which helps to understand the concepts better. • It is recommended to score above 85% in SkillCertPro exams before attempting a real exam. • SkillCertPro updates exam questions every 2 weeks. • You will get life time access and life time free updates • SkillCertPro assures 100% pass guarantee in first attempt.

1. Microsoft Azure Data Fundamentals (DP-900) Exam Dumps 2022
SkillCertPro offers real exam questions for practice for all major IT certifications.
 For a full set of 450+ questions. Go to
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exam-questions/
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understand the concepts better.
 It is recommended to score above 85% in SkillCertPro exams before attempting
a real exam.
 SkillCertPro updates exam questions every 2 weeks.
 You will get life time access and life time free updates
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Below are the free 10 sample questions.
1. Question
Which of the following below statement is true or which one is False?
1. Batch data can process all the data in the dataset. Stream processing typically only has access to the
most recent data received, or within a rolling time window (the last 30 seconds, for example) – True or
False
2. Stream processing is suitable for handling large datasets efficiently. Batch data is intended for
individual records or micro batches consisting of few records. – True or False
3. The latency for Stream processing is typically a few hours. Batch Processing typically occurs
immediately, with latency in the order of seconds or milliseconds. Latency is the time taken for the data
to be received and processed – True or False
4. You typically use batch processing for performing complex analytics. Stream processing is used for
simple response functions, aggregates, or calculations such as rolling averages – True or False
What will be the appropriate answer for (3)?
A. TRUE
B. FALSE
Answer: B
Explanation:
FALSE

2. Performance: The latency for batch processing is typically a few hours. Stream processing typically
occurs immediately, with latency in the order of seconds or milliseconds. Latency is the time taken for
the data to be received and processed.
2. Question
Which of the following below statement is true or which one is False?
1. Batch data can process all the data in the dataset. Stream processing typically only has access to the
most recent data received, or within a rolling time window (the last 30 seconds, for example) – True or
False
2. Stream processing is suitable for handling large datasets efficiently. Batch data is intended for
individual records or micro batches consisting of few records. – True or False
3. The latency for Stream processing is typically a few hours. Batch Processing typically occurs
immediately, with latency in the order of seconds or milliseconds. Latency is the time taken for the data
to be received and processed – True or False
4. You typically use batch processing for performing complex analytics. Stream processing is used for
simple response functions, aggregates, or calculations such as rolling averages – True or False
What will be the appropriate answer for (4)?
A. TRUE
B. FALSE
Answer: A
Explanation:
Analysis: You typically use batch processing for performing complex analytics. Stream processing is used
for simple response functions, aggregates, or calculations such as rolling averages.
3. Question
Which one of the following roles is a data job role?
Select Three choice
A. Systems Administrator
B. Data Analyst
C. Database Administrator
D. Data Engineer
E. Power Platform Engineer

3. Answer: B, C, D
Explanation:
Data Analyst
Database Administrator
Data Engineer
Systems administrators deal with infrastructure components such as networks, virtual machines and
other physical devices in a data center.
DBA Is responsible for maintenance and backups of the SQL, DBs
We cannot consider Power Platform Engineer as Data Job role as it involved lot of tools which Data
Engineer not required to have knowledge of though Power BI is required but all in all we will not
consider this as a Data Role
4. Question
Which of the following is considered as DDL SQL Commands?
Select one
A. Insert
B. Create
C. Select
D. Update
Answer: B
Explanation:
“Create” is the correct Answer
DDL or Data Definition Language actually consists of the SQL commands that can be used to define the
database schema. It simply deals with descriptions of the database schema and is used to create and
modify the structure of database objects in the database.
Examples of DDL commands:
CREATE – is used to create the database or its objects (like table, index, function, views, store procedure
and triggers).
DROP – is used to delete objects from the database.
ALTER-is used to alter the structure of the database.

4. TRUNCATE–is used to remove all records from a table, including all spaces allocated for the records are
removed.
COMMENT –is used to add comments to the data dictionary.
RENAME –is used to rename an object existing in the database.
The SQL commands that deals with the manipulation of data present in the database belong to DML or
Data Manipulation Language and this includes most of the SQL statements.
Examples of DML:
INSERT – is used to insert data into a table.
UPDATE – is used to update existing data within a table.
DELETE – is used to delete records from a database table.
5. Question
Given Below is Json you need to identify the json objects type that will be used in one of the API Azure
Cosmos DB
{
“emp1” : {
“EmpName” : “Chris Jackman”,
“EmpAge” : “34”,
“Company Code” : {
“Code” : “10” }
{“onetype”:[
{“id”:1,”name”:”John Doe”},
{“id”:2,”name”:”Don Joeh”}
]
}
}
What will be the correct Object type for emp1?
A. Nested Object,
B. Nested array,
C. Root object

5. Answer: C
Explanation:
Root object is the Correct Answer
The API will be used in Cosmos DB like Document API, SQL API etc
Explanation https://stackoverflow.com/questions/2098276/nested-json-objects-do-i-have-to-use-
arrays-for-everything
 For a full set of 450+ questions. Go to
https://skillcertpro.com/product/microsoft-azure-data-fundamentals-dp-900-
exam-questions/
 SkillCertPro offers detailed explanations to each question which helps to
understand the concepts better.
 It is recommended to score above 85% in SkillCertPro exams before attempting
a real exam.
 SkillCertPro updates exam questions every 2 weeks.
 You will get life time access and life time free updates
 SkillCertPro assures 100% pass guarantee in first attempt.
6. Question
Given Below is Json you need to identify the json objects type that will be used in one of the API Azure
Cosmos DB
{
“emp1” : {
“EmpName” : “Chris Jackman”,
“EmpAge” : “34”,
“Company Code” : {
“Code” : “10” }
{“onetype”:[
{“id”:1,”name”:”John Doe”},
{“id”:2,”name”:”Don Joeh”}
]

6. }
}
What will be the correct Object type for Code?
A. Nested Object
B. Nested array
C. Root Objects
Answer: A
Explanation:
Correct Answer Nested Object, as the object is nested.
https://stackoverflow.com/questions/2098276/nested-json-objects-do-i-have-to-use-arrays-for-
everything
7. Question
Given Below is Json you need to identify the json objects type that will be used in one of the API Azure
Cosmos DB
{
“emp1” : {
“EmpName” : “Chris Jackman”,
“EmpAge” : “34”,
“Company Code” : {
“Code” : “10” }
{“onetype”:[
{“id”:1,”name”:”John Doe”},
{“id”:2,”name”:”Don Joeh”}
]
}
}
What will be the correct Object type for onetype?
A. Nested Object,
B. Nested array
C. root object
Answer: B

7. Explanation:
Nested array is the correct Answer
{“onetype”:[
{“id”:1,”name”:”John Doe”},
{“id”:2,”name”:”Don Joeh”}
]
If you see the object is in Array as highlighted in Bold.
8. Question
You are the Data Engineer in your organization and you will be taking care of the sales part this year and
need to develop the strategy for the ongoing sales for the previous months , current and the future
month considering in mind that you have the sales data of past 5 year. You need to use Azure Data
Services which of the following Analytics services will you use to determine the correct answer and
make strategy accordingly.
1. To answer the question: What’s happening in the sales part with the Data ?
2. To answer the question: Why’s happening that for certain months the sales increased ?
3. To answer the question: What will happen at the sales front in the coming 2 years ?
4. To answer the question: What actions should we take so that sales will increase?
What will be the correct service you use for (1) ?
A. Prescriptive
B. Predictive
C. Diagnostic
D. Descriptive
E. Cognitive Analytics
Answer: D
Explanation:
Descriptive, to answer the question: What’s happening?
Diagnostic, to answer the question: Why’s happening?
Predictive, to answer the question: What will happen?

8. Prescriptive, to answer the question: What actions should we take?
Descriptive
What’s happening?
Monitor the status of machines, devices, products, and assets.
Assess if things are going according to plan, or to alert people if anomalies arise.
What’s the throughput and utilization of this machine?
Are there any anomalies that require immediate attention?
How much energy is this machine consuming?
How many parts are we producing with this tool?
How are customers using our products?
Where are my assets?
Diagnostic
Why is something happening?
Examine data from multiple angles to understand why something is happening.
The goal is to find the root cause of a problem, in order to fix, or improve something (a process, a
service, or a product).
Why is the OEE of this machine so low?
Why is this machine producing more defective parts than the others?
Why is this machine consuming so much energy?
Why are we producing so few parts with this tool?
Why are we getting so many returns of this product?
Why are we getting so many product returns from our European customers?
Predictive
What will happen?
Calculate the probability that something will happen within a specific timeframe, based on historical
data.
The goal is to proactively take some sort of corrective action before something (usually bad) happens,
mitigate risk, or to identify opportunities to gain a competitive advantage.
What’s the probability of this machine failing in the next 24 hours?
What is the expected remaining useful life of this tool?

9. When should I plan service for this machine?
What will be the demand for this product or feature?
Prescriptive
What actions should I take?
Recommend actions as a result of a diagnosis or a prediction, or at least provide some visibility to the
reasoning behind a diagnostic or prediction.
Often the recommendations are about how to fix or optimize something.
This machine is 90 percent likely to fail in the next 24 hours. What should I do to prevent it?
The OEE of this machine is low. What can I do to improve it?
This machine is producing too many defective parts. What should I do to avoid this?
This design is causing many manufacturing issues. How can I improve the design to reduce them?
9. Question
You are the Data Engineer in your organization and you will be taking care of the sales part this year and
need to develop the strategy for the ongoing sales for the previous months , current and the future
month considering in mind that you have the sales data of past 5 year. You need to use Azure Data
Services which of the following Analytics services will you use to determine the correct answer and
make strategy accordingly.
To answer the question: What’s happening in the sales part with the Data ?
To answer the question: Why’s happening that for certain months the sales increased ?
To answer the question: What will happen at the sales front in the coming 2 years ?
To answer the question: What actions should we take so that sales will increase?
What will be the correct service you use for (2) ?
A. Prescriptive,
B. Predictive,
C. Diagnostic,
D. Descriptive
E. Cognitive Analytics
A. A
B. B

10. C. C
D. D
E. E
Answer: C
Explanation:
Descriptive, to answer the question: What’s happening?
Diagnostic, to answer the question: Why’s happening?
Predictive, to answer the question: What will happen?
Prescriptive, to answer the question: What actions should we take?
Descriptive
What’s happening?
Monitor the status of machines, devices, products, and assets.
Assess if things are going according to plan, or to alert people if anomalies arise.
What’s the throughput and utilization of this machine?
Are there any anomalies that require immediate attention?
How much energy is this machine consuming?
How many parts are we producing with this tool?
How are customers using our products?
Where are my assets?
Diagnostic
Why is something happening?
Examine data from multiple angles to understand why something is happening.
The goal is to find the root cause of a problem, in order to fix, or improve something (a process, a
service, or a product).
Why is the OEE of this machine so low?
Why is this machine producing more defective parts than the others?
Why is this machine consuming so much energy?
Why are we producing so few parts with this tool?
Why are we getting so many returns of this product?

11. Why are we getting so many product returns from our European customers?
Predictive
What will happen?
Calculate the probability that something will happen within a specific timeframe, based on historical
data.
The goal is to proactively take some sort of corrective action before something (usually bad) happens,
mitigate risk, or to identify opportunities to gain a competitive advantage.
What’s the probability of this machine failing in the next 24 hours?
What is the expected remaining useful life of this tool?
When should I plan service for this machine?
What will be the demand for this product or feature?
Prescriptive
What actions should I take?
Recommend actions as a result of a diagnosis or a prediction, or at least provide some visibility to the
reasoning behind a diagnostic or prediction.
Often the recommendations are about how to fix or optimize something.
This machine is 90 percent likely to fail in the next 24 hours. What should I do to prevent it?
The OEE of this machine is low. What can I do to improve it?
This machine is producing too many defective parts. What should I do to avoid this?
This design is causing many manufacturing issues. How can I improve the design to reduce them?
10. Question
Your are the Data Engineer in your organization and you will be taking care of the sales part this year
and need to develop the strategy for the ongoing sales for the previous months , current and the future
month considering in mind that you have the sales data of past 5 year. You need to use Azure Data
Services which of the following Analytics services will you use to determine the correct answer and
make strategy accordingly.
1. To answer the question: What’s happening in the sales part with the Data ?
2. To answer the question: Why’s happening that for certain months the sales increased ?
3. To answer the question: What will happen at the sales front in the coming 2 years ?
4. To answer the question: What actions should we take so that sales will increase?

12. What will be the correct service you use for (3) ?
A. Prescriptive,
B. Predictive,
C. Diagnostic,
D. Descriptive
E. Cognitive Analytics
A. A
B. B
C. C
D. D
E. E
Answer: B
Explanation:
Descriptive, to answer the question: What’s happening?
Diagnostic, to answer the question: Why’s happening?
Predictive, to answer the question: What will happen?
Prescriptive, to answer the question: What actions should we take?
Descriptive
What’s happening?
Monitor the status of machines, devices, products, and assets.
Assess if things are going according to plan, or to alert people if anomalies arise.
What’s the throughput and utilization of this machine?
Are there any anomalies that require immediate attention?
How much energy is this machine consuming?
How many parts are we producing with this tool?
How are customers using our products?
Where are my assets?
Diagnostic

13. Why is something happening?
Examine data from multiple angles to understand why something is happening.
The goal is to find the root cause of a problem, in order to fix, or improve something (a process, a
service, or a product).
Why is the OEE of this machine so low?
Why is this machine producing more defective parts than the others?
Why is this machine consuming so much energy?
Why are we producing so few parts with this tool?
Why are we getting so many returns of this product?
Why are we getting so many product returns from our European customers?
Predictive
What will happen?
Calculate the probability that something will happen within a specific timeframe, based on historical
data.
The goal is to proactively take some sort of corrective action before something (usually bad) happens,
mitigate risk, or to identify opportunities to gain a competitive advantage.
What’s the probability of this machine failing in the next 24 hours?
What is the expected remaining useful life of this tool?
When should I plan service for this machine?
What will be the demand for this product or feature?
Prescriptive
What actions should I take?
Recommend actions as a result of a diagnosis or a prediction, or at least provide some visibility to the
reasoning behind a diagnostic or prediction.
Often the recommendations are about how to fix or optimize something.
This machine is 90 percent likely to fail in the next 24 hours. What should I do to prevent it?
The OEE of this machine is low. What can I do to improve it?
This machine is producing too many defective parts. What should I do to avoid this?
This design is causing many manufacturing issues. How can I improve the design to reduce them?

14.  For a full set of 450+ questions. Go to
https://skillcertpro.com/product/microsoft-azure-data-fundamentals-dp-900-
exam-questions/
 SkillCertPro offers detailed explanations to each question which helps to
understand the concepts better.
 It is recommended to score above 85% in SkillCertPro exams before attempting
a real exam.
 SkillCertPro updates exam questions every 2 weeks.
 You will get life time access and life time free updates
 SkillCertPro assures 100% pass guarantee in first attempt.