Microsoft Azure Data Fundamentals (DP-900) — Questions and Answers

Question 1: How should incidents related to Non-Relational Data on Azure be handled?

Escalated exclusively to external consultants
Through structured incident response with documentation and lessons learned (Correct answer)
Fixed immediately without any documentation
Ignored until they resolve themselves naturally

Correct answer: Through structured incident response with documentation and lessons learned

Incidents should follow a structured response process with documentation for future learning.

Question 2: What risk does poor implementation of Core Data Concepts create?

Increased vulnerability to failures and compliance issues (Correct answer)
No risks exist with any implementation approach
Risks only affect external stakeholders
Only financial risks are relevant

Correct answer: Increased vulnerability to failures and compliance issues

Poor Core Data Concepts implementation increases vulnerability to failures, compliance issues, and operational problems.

Question 3: What risk does poor implementation of Azure Cosmos DB create?

No risks exist with any implementation approach
Risks only affect external stakeholders
Increased vulnerability to failures and compliance issues (Correct answer)
Only financial risks are relevant

Correct answer: Increased vulnerability to failures and compliance issues

Poor Azure Cosmos DB implementation increases vulnerability to failures, compliance issues, and operational problems.

Question 4: How is Azure Cosmos DB tested or validated in practice?

It is never tested or validated
Testing is not possible for this area
Through regular testing, audits, and structured validation exercises (Correct answer)
Only tested during the initial setup phase

Correct answer: Through regular testing, audits, and structured validation exercises

Azure Cosmos DB should be regularly tested and validated through appropriate exercises and audits.

Question 5: How should incidents related to Azure Data Factory be handled?

Through structured incident response with documentation and lessons learned (Correct answer)
Ignored until they resolve themselves naturally
Escalated exclusively to external consultants
Fixed immediately without any documentation

Correct answer: Through structured incident response with documentation and lessons learned

Incidents should follow a structured response process with documentation for future learning.

Question 6: What is the lifecycle of Power BI Fundamentals?

Plan, implement, monitor, review, and improve continuously (Correct answer)
Only plan without ever implementing
Implement once and never revisit the topic
Skip directly to monitoring without planning

Correct answer: Plan, implement, monitor, review, and improve continuously

The Power BI Fundamentals lifecycle follows plan-implement-monitor-review-improve in a continuous cycle.

Question 7: What role does automation play in Azure Cosmos DB?

Replacing all human involvement entirely
Automating repetitive tasks while maintaining human oversight (Correct answer)
Only automating documentation-related tasks
Automation is not applicable to this area

Correct answer: Automating repetitive tasks while maintaining human oversight

Automation enhances Azure Cosmos DB by handling repetitive tasks while humans maintain strategic oversight.

Question 8: Which statement best describes Azure Data Lake Storage?

A topic only relevant to advanced practitioners
A core component of the DP-900 - Microsoft Azure Data Fundamentals certification body of knowledge (Correct answer)
An optional topic not covered in the exam
A deprecated concept from older versions

Correct answer: A core component of the DP-900 - Microsoft Azure Data Fundamentals certification body of knowledge

Azure Data Lake Storage is a fundamental topic within the DP-900 - Microsoft Azure Data Fundamentals certification covering essential knowledge and skills.

Question 9: What risk does poor implementation of Data Analytics Concepts create?

No risks exist with any implementation approach
Only financial risks are relevant
Risks only affect external stakeholders
Increased vulnerability to failures and compliance issues (Correct answer)

Correct answer: Increased vulnerability to failures and compliance issues

Poor Data Analytics Concepts implementation increases vulnerability to failures, compliance issues, and operational problems.

Question 10: What emerging trends are affecting Azure Cosmos DB?

Technology advances, increased automation, and evolving industry practices (Correct answer)
Only budget constraints are relevant
No trends affect this area whatsoever
Trends are irrelevant to fundamental concepts

Correct answer: Technology advances, increased automation, and evolving industry practices

Technology advances and evolving practices continuously shape how Azure Cosmos DB is approached.

Question 11: How does Core Data Concepts support organizational goals?

It has no relationship to organizational goals
By increasing headcount requirements
Only through cost reduction measures
By reducing risk and improving operational efficiency (Correct answer)

Correct answer: By reducing risk and improving operational efficiency

Core Data Concepts supports organizational goals through risk reduction, efficiency improvements, and better outcomes.

Question 12: How should incidents related to Core Data Concepts be handled?

Through structured incident response with documentation and lessons learned (Correct answer)
Escalated exclusively to external consultants
Ignored until they resolve themselves naturally
Fixed immediately without any documentation

Correct answer: Through structured incident response with documentation and lessons learned

Incidents should follow a structured response process with documentation for future learning.

Question 13: What prerequisite knowledge is needed for Core Data Concepts?

No prerequisites exist for this topic
Ten years of management experience minimum
Advanced programming skills only
Understanding of foundational concepts and organizational context (Correct answer)

Correct answer: Understanding of foundational concepts and organizational context

Effective work with Core Data Concepts requires understanding foundational concepts and organizational context.

Question 14: What is the first step when implementing Azure SQL Database?

Delegating to an external team without oversight
Skipping documentation to save time
Implementing immediately without planning
Assessing requirements and defining scope for azure sql database (Correct answer)

Correct answer: Assessing requirements and defining scope for azure sql database

The first step is always understanding requirements and scope before implementing Azure SQL Database.

Question 15: What vendor considerations apply to Azure Cosmos DB?

Always select the cheapest vendor available
Vendor management is completely separate from this topic
Vendor relationships are irrelevant
Evaluating vendors, managing SLAs, and monitoring ongoing performance (Correct answer)

Correct answer: Evaluating vendors, managing SLAs, and monitoring ongoing performance

Vendor considerations for Azure Cosmos DB include evaluation, SLA management, and performance monitoring.

Question 16: What exam preparation tips apply to Core Data Concepts?

Skip this topic entirely on the exam
Only study the night before the exam
Memorize everything without understanding the concepts
Understand core concepts, practice with scenarios, and learn key terminology (Correct answer)

Correct answer: Understand core concepts, practice with scenarios, and learn key terminology

For Core Data Concepts exam preparation, focus on core concepts, scenario practice, and proper terminology.

Question 17: How does Non-Relational Data on Azure support organizational goals?

It has no relationship to organizational goals
Only through cost reduction measures
By reducing risk and improving operational efficiency (Correct answer)
By increasing headcount requirements

Correct answer: By reducing risk and improving operational efficiency

Non-Relational Data on Azure supports organizational goals through risk reduction, efficiency improvements, and better outcomes.

Question 18: What role does automation play in Azure Data Factory?

Replacing all human involvement entirely
Only automating documentation-related tasks
Automation is not applicable to this area
Automating repetitive tasks while maintaining human oversight (Correct answer)

Correct answer: Automating repetitive tasks while maintaining human oversight

Automation enhances Azure Data Factory by handling repetitive tasks while humans maintain strategic oversight.

Question 19: What reporting is needed for Core Data Concepts?

No reporting is required at any level
Annual reports only to executive leadership
Reports only when significant problems are detected
Regular reports to relevant stakeholders with actionable insights and metrics (Correct answer)

Correct answer: Regular reports to relevant stakeholders with actionable insights and metrics

Reporting on Core Data Concepts should be regular with actionable insights and meaningful metrics.

Question 20: What role does automation play in Core Data Concepts?

Automation is not applicable to this area
Automating repetitive tasks while maintaining human oversight (Correct answer)
Only automating documentation-related tasks
Replacing all human involvement entirely

Correct answer: Automating repetitive tasks while maintaining human oversight

Automation enhances Core Data Concepts by handling repetitive tasks while humans maintain strategic oversight.

Question 21: Which statement best describes Non-Relational Data on Azure?

An optional topic not covered in the exam
A deprecated concept from older versions
A topic only relevant to advanced practitioners
A core component of the DP-900 - Microsoft Azure Data Fundamentals certification body of knowledge (Correct answer)

Correct answer: A core component of the DP-900 - Microsoft Azure Data Fundamentals certification body of knowledge

Non-Relational Data on Azure is a fundamental topic within the DP-900 - Microsoft Azure Data Fundamentals certification covering essential knowledge and skills.

Question 22: How should Azure Stream Analytics be communicated to stakeholders?

Never communicate about this topic
Regular updates with clear, actionable information and metrics (Correct answer)
Only when significant problems occur
Only through annual comprehensive reports

Correct answer: Regular updates with clear, actionable information and metrics

Stakeholder communication about Azure Stream Analytics should be regular with clear, actionable information.

Question 23: What is the primary purpose of Core Data Concepts in the context of DP-900 - Microsoft Azure Data Fundamentals?

To eliminate the need for documentation
To provide a structured framework for core data concepts management and implementation (Correct answer)
To replace all manual processes entirely
To reduce staffing requirements significantly

Correct answer: To provide a structured framework for core data concepts management and implementation

Core Data Concepts provides a structured approach within DP-900 - Microsoft Azure Data Fundamentals, enabling effective management and implementation of related concepts.

Question 24: How does Power BI Fundamentals deliver business value?

By increasing organizational complexity
Only through direct cost savings
By reducing risk, improving efficiency, and enabling informed decisions (Correct answer)
It provides no measurable business value

Correct answer: By reducing risk, improving efficiency, and enabling informed decisions

Power BI Fundamentals delivers business value through risk reduction, efficiency gains, and informed decision-making.

Question 25: What scalability considerations apply to Relational Data on Azure?

Scalability is handled automatically without effort
Scalability is not a concern for this topic
Maintaining quality and consistency as scope and complexity grow (Correct answer)
Always scale down to reduce costs

Correct answer: Maintaining quality and consistency as scope and complexity grow

Scaling Relational Data on Azure requires maintaining quality and consistency across growing environments.

Question 26: What training is recommended for Core Data Concepts?

Structured training combining theory and practical application (Correct answer)
Training is only meant for beginners
No training is needed for this topic
Only reading one blog article is sufficient

Correct answer: Structured training combining theory and practical application

Effective Core Data Concepts training combines theoretical knowledge with hands-on practical application.

Question 27: How does Core Data Concepts deliver business value?

It provides no measurable business value
By increasing organizational complexity
Only through direct cost savings
By reducing risk, improving efficiency, and enabling informed decisions (Correct answer)

Correct answer: By reducing risk, improving efficiency, and enabling informed decisions

Core Data Concepts delivers business value through risk reduction, efficiency gains, and informed decision-making.

Question 28: What emerging trends are affecting Relational Data on Azure?

Technology advances, increased automation, and evolving industry practices (Correct answer)
Trends are irrelevant to fundamental concepts
No trends affect this area whatsoever
Only budget constraints are relevant

Correct answer: Technology advances, increased automation, and evolving industry practices

Technology advances and evolving practices continuously shape how Relational Data on Azure is approached.

Question 29: What common mistake is made when implementing Relational Data on Azure?

Skipping proper planning and rushing to implementation (Correct answer)
Over-planning before taking any action
Using too many automation tools at once
Involving too many stakeholders in decisions

Correct answer: Skipping proper planning and rushing to implementation

A common mistake with Relational Data on Azure is rushing implementation without proper planning and assessment.

Question 30: Which statement best describes Azure Cosmos DB?

A topic only relevant to advanced practitioners
A core component of the DP-900 - Microsoft Azure Data Fundamentals certification body of knowledge (Correct answer)
An optional topic not covered in the exam
A deprecated concept from older versions

Correct answer: A core component of the DP-900 - Microsoft Azure Data Fundamentals certification body of knowledge

Azure Cosmos DB is a fundamental topic within the DP-900 - Microsoft Azure Data Fundamentals certification covering essential knowledge and skills.

Question 31: How does Azure Data Factory support audit requirements?

By restricting auditor access to all systems
Through documented processes, evidence collection, and traceability (Correct answer)
Audit requirements do not apply to this area
By avoiding all documentation to reduce exposure

Correct answer: Through documented processes, evidence collection, and traceability

Azure Data Factory supports audits through documented processes, evidence, and clear traceability.

Question 32: What file format does Delta Lake use to physically store data?

JSON
ORC
CSV
Parquet (Correct answer)

Correct answer: Parquet

Delta Lake stores data in Parquet file format, which is a columnar storage format optimized for analytics workloads, combined with a transaction log for ACID compliance.

Question 33: What is the governance framework for Relational Data on Azure?

Defined roles, responsibilities, policies, and accountability structures (Correct answer)
No governance is needed for this topic
A single person makes all governance decisions
External auditors govern everything exclusively

Correct answer: Defined roles, responsibilities, policies, and accountability structures

Governance for Relational Data on Azure includes defined roles, responsibilities, policies, and accountability.

Question 34: What scalability considerations apply to Non-Relational Data on Azure?

Always scale down to reduce costs
Scalability is handled automatically without effort
Maintaining quality and consistency as scope and complexity grow (Correct answer)
Scalability is not a concern for this topic

Correct answer: Maintaining quality and consistency as scope and complexity grow

Scaling Non-Relational Data on Azure requires maintaining quality and consistency across growing environments.

Question 35: How is success in Relational Data on Azure measured and evaluated?

By spending the entire allocated budget
By meeting defined objectives with measurable outcomes and stakeholder satisfaction (Correct answer)
By passing the certification exam only
By completing all documentation requirements

Correct answer: By meeting defined objectives with measurable outcomes and stakeholder satisfaction

Success is defined by meeting objectives with measurable outcomes and stakeholder satisfaction.

Question 36: What vendor considerations apply to Azure Data Factory?

Always select the cheapest vendor available
Vendor relationships are irrelevant
Vendor management is completely separate from this topic
Evaluating vendors, managing SLAs, and monitoring ongoing performance (Correct answer)

Correct answer: Evaluating vendors, managing SLAs, and monitoring ongoing performance

Vendor considerations for Azure Data Factory include evaluation, SLA management, and performance monitoring.

Question 37: What common mistake is made when implementing Non-Relational Data on Azure?

Using too many automation tools at once
Involving too many stakeholders in decisions
Skipping proper planning and rushing to implementation (Correct answer)
Over-planning before taking any action

Correct answer: Skipping proper planning and rushing to implementation

A common mistake with Non-Relational Data on Azure is rushing implementation without proper planning and assessment.

Question 38: What risk does poor implementation of Azure SQL Database create?

Increased vulnerability to failures and compliance issues (Correct answer)
Only financial risks are relevant
No risks exist with any implementation approach
Risks only affect external stakeholders

Correct answer: Increased vulnerability to failures and compliance issues

Poor Azure SQL Database implementation increases vulnerability to failures, compliance issues, and operational problems.

Question 39: What tools and platforms support Core Data Concepts implementation?

Social media platforms are the primary tool
Purpose-built tools and platforms specific to this domain (Correct answer)
Only spreadsheets are used in practice
No tools exist for this purpose

Correct answer: Purpose-built tools and platforms specific to this domain

Specialized tools and platforms exist to support Core Data Concepts implementation and management effectively.

Question 40: How should Core Data Concepts be budgeted?

Based on risk assessment, expected ROI, and organizational priorities (Correct answer)
Allocate minimum possible budget always
Allocate maximum available budget always
No budget allocation is needed for this area

Correct answer: Based on risk assessment, expected ROI, and organizational priorities

Budget for Core Data Concepts should be based on risk assessment, expected ROI, and organizational priorities.

Question 41: What emerging trends are affecting Core Data Concepts?

Only budget constraints are relevant
Trends are irrelevant to fundamental concepts
Technology advances, increased automation, and evolving industry practices (Correct answer)
No trends affect this area whatsoever

Correct answer: Technology advances, increased automation, and evolving industry practices

Technology advances and evolving practices continuously shape how Core Data Concepts is approached.

Question 42: How should Azure SQL Database be budgeted?

Allocate minimum possible budget always
No budget allocation is needed for this area
Allocate maximum available budget always
Based on risk assessment, expected ROI, and organizational priorities (Correct answer)

Correct answer: Based on risk assessment, expected ROI, and organizational priorities

Budget for Azure SQL Database should be based on risk assessment, expected ROI, and organizational priorities.

Question 43: What vendor considerations apply to Power BI Fundamentals?

Vendor relationships are irrelevant
Vendor management is completely separate from this topic
Always select the cheapest vendor available
Evaluating vendors, managing SLAs, and monitoring ongoing performance (Correct answer)

Correct answer: Evaluating vendors, managing SLAs, and monitoring ongoing performance

Vendor considerations for Power BI Fundamentals include evaluation, SLA management, and performance monitoring.

Question 44: What is the lifecycle of Core Data Concepts?

Only plan without ever implementing
Skip directly to monitoring without planning
Implement once and never revisit the topic
Plan, implement, monitor, review, and improve continuously (Correct answer)

Correct answer: Plan, implement, monitor, review, and improve continuously

The Core Data Concepts lifecycle follows plan-implement-monitor-review-improve in a continuous cycle.

Question 45: What training is recommended for Azure Cosmos DB?

Only reading one blog article is sufficient
Structured training combining theory and practical application (Correct answer)
No training is needed for this topic
Training is only meant for beginners

Correct answer: Structured training combining theory and practical application

Effective Azure Cosmos DB training combines theoretical knowledge with hands-on practical application.

Question 46: How does Data Governance and Compliance deliver business value?

Only through direct cost savings
It provides no measurable business value
By reducing risk, improving efficiency, and enabling informed decisions (Correct answer)
By increasing organizational complexity

Correct answer: By reducing risk, improving efficiency, and enabling informed decisions

Data Governance and Compliance delivers business value through risk reduction, efficiency gains, and informed decision-making.

Question 47: What common mistake is made when implementing Azure Cosmos DB?

Using too many automation tools at once
Involving too many stakeholders in decisions
Skipping proper planning and rushing to implementation (Correct answer)
Over-planning before taking any action

Correct answer: Skipping proper planning and rushing to implementation

A common mistake with Azure Cosmos DB is rushing implementation without proper planning and assessment.

Question 48: What is the difference between strategic and tactical approaches to Data Governance and Compliance?

Strategic approaches are always superior
They are exactly the same approach
Tactical approaches are never used in practice
Strategic focuses on long-term goals; tactical on immediate implementation (Correct answer)

Correct answer: Strategic focuses on long-term goals; tactical on immediate implementation

Strategic Data Governance and Compliance addresses long-term objectives while tactical focuses on immediate implementation.

Question 49: What is the relationship between Non-Relational Data on Azure and security?

Non-Relational Data on Azure includes security considerations as an integral component (Correct answer)
Security is completely unrelated to this topic
Security only applies to network-related topics
Non-Relational Data on Azure replaces all other security measures

Correct answer: Non-Relational Data on Azure includes security considerations as an integral component

Security is an integral part of Non-Relational Data on Azure, ensuring that implementations are protected and compliant.

Question 50: How does Azure Cosmos DB address compliance requirements?

By outsourcing all compliance activities externally
By ignoring all regulatory requirements
Compliance is not relevant to this particular topic
By providing documented controls, audit trails, and measurable outcomes (Correct answer)

Correct answer: By providing documented controls, audit trails, and measurable outcomes

Azure Cosmos DB supports compliance through documented controls, measurable outcomes, and clear audit trails.

Microsoft Azure Data Fundamentals (DP-900)

DP-900 validates foundational knowledge of core data concepts and Microsoft Azure data services, covering relational data, non-relational data, and analytics workloads in the cloud.

Questions

60 min

Time Limit

70%

To Pass

Checking for saved progress...

Exam Rules

You can skip questions and return to them later
Flag questions for review before submitting
No feedback shown until you submit the entire exam
Unanswered questions count as wrong — answer everything
10 pretest questions are mixed in and don't affect your score
Timer auto-submits when time runs out
Your progress is auto-saved every 30 seconds