DA0-001 Data Certification
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Official Name: CompTIA DA0-001 Data Certification
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Start NowAbout the CompTIA DA0-001 Data Certification Certification
The CompTIA DA0-001 Data Certification certification is designed for professionals who analyze, interpret, and visualize data to support business decision-making while applying governance and quality control standards.. As technology evolves and industry demands grow more complex, this credential validates your ability to apply real-world skills and knowledge using CompTIA tools and frameworks. Earning the certification positions you as a trusted expert, capable of solving high-impact challenges and contributing to secure, scalable, and efficient systems.
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Preparing for the CompTIA DA0-001 Data Certification exam requires more than just reading documentation—it demands hands-on practice with realistic scenarios. PowerKram’s practice exams simulate the actual test environment, helping you reduce retakes, save on costly training, and build confidence. Our proprietary question sets mirror the structure and difficulty of the real exam, allowing you to focus your study efforts where they matter most. With a 24-hour free trial, you get full access to hundreds of questions and advanced scoring features—no credit card required.
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Test Your Knowledge of CompTIA DA0-001 Data Certification
Question #1
A company needs to ensure its sales data is consistent and accurate across all departments.
Which process should be implemented?
A) Data validation
B) Increasing server RAM
C) Installing new printers
D) Changing office layout
Solution
Correct answers: Data validation – Explanation:
Data validation checks data accuracy and consistency. Hardware or office changes do not affect data quality.
Question #2
A data analyst is tasked with presenting quarterly trends to executives.
Which visualization is most effective?
A) Line chart
B) Pie chart
C) Scatter plot
D) Tree map
Solution
Correct answers: Line chart – Explanation:
Line charts show trends over time. Pie charts show proportions, scatter plots show relationships, and tree maps show hierarchy.
Question #3
A financial analyst receives a dataset with missing values in several columns.
What is the best initial step?
A) Identify and quantify missing values
B) Delete the entire dataset
C) Increase storage space
D) Ignore missing values
Solution
Correct answers: Identify and quantify missing values – Explanation:
Assessing missing data guides further action. Deleting, ignoring, or upgrading storage does not address data completeness.
Question #4
A team wants to restrict access to sensitive payroll information in a shared database.
Which measure should be implemented?
A) Role-based access control
B) Adding more columns
C) Defragmenting the database
D) Changing column names
Solution
Correct answers: Role-based access control – Explanation:
RBAC ensures only authorized users can access sensitive data. Adding or changing columns does not secure data.
Question #5
A manager needs to combine sales data from multiple sources for analysis.
Which process accomplishes this?
A) Data integration
B) Data encryption
C) Data archiving
D) Data masking
Solution
Correct answers: Data integration – Explanation:
Data integration merges data from different sources for unified analysis. Encryption, archiving, or masking serve other purposes.
Question #6
A company is concerned about unauthorized changes to its data warehouse.
Which feature helps address this concern?
A) Audit logging
B) Adding more disk space
C) Using static IP addresses
D) Increasing CPU cores
Solution
Correct answers: Audit logging – Explanation:
Audit logs track changes and help detect unauthorized activity. Hardware or network changes do not monitor data changes.
Question #7
A user wants to find all records where the customer age is greater than 30 in a SQL database.
Which query should be used?
A) SELECT FROM customers WHERE age > 30;
B) SELECT age FROM customers;
C) UPDATE customers SET age = 30;
D) Changing office layout
Solution
Correct answers: SELECT FROM customers WHERE age > 30; – Explanation:
This query returns all records with age greater than 30. Others list, update, or delete records instead.
Question #8
A data engineer must ensure backups can be restored in case of corruption or loss.
What is the most important practice?
A) Regularly test backup restores
B) Increase the frequency of data queries
C) Share backup credentials widely
D) Store backups on the same server
Solution
Correct answers: Data validation – Explanation:
Data validation checks data accuracy and consistency. Hardware or office changes do not affect data quality.
Question #9
A business wants to visualize customer distribution by region in a dashboard.
Which chart type is best?
A) Map
B) Bar chart
C) Line graph
D) Gantt chart
Solution
Correct answers: Map – Explanation:
Maps show geographic distribution. Bar/line charts or Gantt charts do not display location data effectively.
Question #10
A data analyst needs to identify duplicate entries in a large dataset.
Which technique should be used?
A) Run a deduplication process
B) Install new visualization software
C) Update firmware
D) Change file permissions
Solution
Correct answers: Run a deduplication process – Explanation:
Deduplication finds and removes duplicates. Other actions do not address duplicate records.
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