Download CompTIA DA0-002 Sample Questions [Aug-2026]
Real DA0-002 Exam Questions and Answers FREE
NEW QUESTION # 77
Which of the following is the best tool for creating a dynamic dashboard?
- A. RStudio
- B. SAS
- C. Power BI
- D. Excel
Answer: C
NEW QUESTION # 78
A company wants to limit an employee's access to a production environment. Which of the following access control practices is the best to implement?
- A. Attribute-based
- B. Role-based
- C. Time-based
- D. Mandatory
Answer: B
Explanation:
This question falls under theData Governancedomain, focusing on access control practices for data security.
The task is to limit an employee's access to a production environment, requiring a structured approach.
* Mandatory (Option A): Mandatory access control (MAC) uses strict, system-enforced rules (e.g., military settings), but it's overly rigid for most companies.
* Time-based (Option B): Time-based access limits access to specific times, which doesn't address general production environment access.
* Attribute-based (Option C): Attribute-based access control (ABAC) uses attributes (e.g., department, location), but it's complex and not the simplest solution.
* Role-based (Option D): Role-based access control (RBAC) assigns permissions based on the employee's role, ensuring they only access what's needed for their job, making it the best practice for limiting production access.
The DA0-002 Data Governance domain includes "data privacy concepts," and role-based access control is a widely adopted practice for limiting access in production environments.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
NEW QUESTION # 79
A financial firm gives an analyst a set of requirements for a sales dashboard. The analyst creates a product using sample data and other components to show the firm how the product will most likely look. Which of the following best explains the analyst's approach?
- A. Developing a sample dashboard to show the level of detail required for the product
- B. Designing a mock-up to gather feedback and ensure requirements are understood
- C. Creating an accessibility product to ensure the firm can access the sales dashboard
- D. Ensuring that all of the colors and graphics align with the firm's requirements
Answer: B
Explanation:
Creating a mock-up with sample data allows stakeholders to review the proposed design, provide feedback, and confirm that requirements are correctly understood before full development.
NEW QUESTION # 80
Which of the following is the best way to ensure a procedure performs appropriately during heavy use?
- A. Requirements test
- B. User acceptance test
- C. Network throughput test
- D. Stress test
Answer: D
Explanation:
A stress test evaluates how a procedure, system, or application performs under heavy workloads or extreme conditions. It helps identify performance limits, bottlenecks, and potential failures, ensuring the procedure continues to operate appropriately during periods of high use.
NEW QUESTION # 81
A data analyst needs to generate a list of employees who currently live in Dade, FL. Given the following table:
Which of the following SQL statements should the analyst use to complete this task?
- A. SELECT * FROM Employee WHERE emp_city = 'Dade' OR emp_st = 'FL';
- B. SELECT * FROM Employee WHERE emp_city IN ('Dade', 'FL');
- C. SELECT * FROM Employee WHERE emp_city LIKE 'D%';
- D. SELECT * FROM Employee WHERE emp_city = 'Dade' AND emp_st = 'FL';
Answer: D
Explanation:
The requirement is to return only employees who live in both the city of Dade and the state of FL.
Using the AND operator ensures that both conditions must be true for a record to be included in the result set.
NEW QUESTION # 82
A data analyst is creating a new dataset that involves bringing together the following datasets:
Name
ID
Date of birth
Frank
23525
3/19
Martha
11290
6/13
Ellen
12141
11/4
ID
Address
City
State
23525
1234 Harding
Chicago
IL
11040
935 Terrace Hills
Chino
CA
11290
2 Speedway
Miami
FL
Which of the following would be the output if the data analyst does a FULL JOIN?
- A. Name
ID
Date of birth
Address
City
State
Frank
23525
3/19
1234 Harding
Chicago
IL
Martha
11290
6/13
2 Speedway
Miami
FL
Ellen
12141
11/4
11040
935 Terrace Hills
Chino
CA - B. Name
ID
Date of birth
Address
City
State
Frank
23525
3/19
1234 Harding
Chicago
IL
Martha
11290
6/13
935 Terrace Hills
Chino
CA
Ellen
12141
11/4
2 Speedway
Miami
FL - C. Name
ID
Date of birth
Address
City
State
Frank
23525
3/19
1234 Harding
Chicago
IL
Martha
11290
6/13
935 Terrace Hills
Chino
CA
Ellen
12141
11/4
2 Speedway
Miami
FL - D. Name
ID
Date of birth
Address
City
State
Frank
23525
3/19
1234 Harding
Chicago
IL
Martha
11290
6/13
2 Speedway
Miami
FL
Ellen
12141
11/4
935 Terrace Hills
Chino
CA
Answer: A
Explanation:
This question falls under theData Concepts and Environmentsdomain, focusing on database operations like joins. A FULL JOIN combines all rows from both tables, including matches and non-matches, filling in NULLs where there's no corresponding data.
* The first table has IDs: 23525 (Frank), 11290 (Martha), 12141 (Ellen).
* The second table has IDs: 23525, 11040, 11290.
* A FULL JOIN includes all IDs: 23525, 11290, 12141, 11040.
* 23525 matches (Frank with 1234 Harding, Chicago, IL).
* 11290 matches (Martha with 2 Speedway, Miami, FL).
* 12141 has no match in the second table, so Address, City, and State are NULL.
* 11040 has no match in the first table, so Name and Date of birth are NULL.
* Option A: Incorrect; it includes a row for Ellen with "2 Speedway," but Ellen's ID (12141) doesn't match any address, and 11040 is missing.
* Option B: Identical to Option A, so incorrect for the same reasons.
* Option C: Incorrect; it mismatches addresses (e.g., Ellen with 935 Terrace Hills, which belongs to
11040).
* Option D: Correct; it includes all IDs, with NULLs for non-matching rows (Ellen has no address, and
11040 has no name).
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," such as performing joins in relational databases.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.
NEW QUESTION # 83
The human resources department wants to understand the relationship between the ages and incomes of all employees. Which of the following graphics is the most appropriate to present the analysis?
- A. Pie chart
- B. Bar chart
- C. Area plot
- D. Scatter plot
Answer: D
Explanation:
This question pertains to theVisualization and Reportingdomain, focusing on selecting the appropriate visualization to show a relationship between two continuous variables (ages and incomes).
* Scatter plot (Option A): A scatter plot displays individual data points on two axes (age vs. income), making it ideal for showing the relationship and potential correlation between two continuous variables.
* Area plot (Option B): Area plots are used for showing trends over time, not relationships between two variables.
* Bar chart (Option C): Bar charts are better for categorical data comparisons, not continuous variable relationships.
* Pie chart (Option D): Pie charts show proportions of a whole, not suitable for showing relationships between variables.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and a scatter plot is best for showing the relationship between age and income.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
NEW QUESTION # 84
A data analyst needs to join together a table data source and a web API data source using Python. Which of the following is the best way to accomplish this task?
- A. Convert the data from the API and database to a string format and convert them to pandas DataFrames that are then merged together.
- B. Convert the data from the API and database to a TXT format and convert them to pandas DataFrames that are then merged together.
- C. Convert the data from the API and database to a JSON format and convert them to pandas DataFrames that are then merged together.
- D. Convert the data from the API and database to a varchar format and convert them to pandas DataFrames that are then merged together.
Answer: C
Explanation:
This question falls under theData Acquisition and Preparationdomain of CompTIA Data+ DA0-002, which involves acquiring and combining data from different sources, such as a database and a web API, using tools like Python. The task requires joining the data, which in Python often involves using pandas DataFrames.
* Convert the data from the API and database to a varchar format and convert them to pandas DataFrames that are then merged together (Option A): VARCHAR is a databasedata type for strings, not a format for data exchange or merging in Python, making this incorrect.
* Convert the data from the API and database to a JSON format and convert them to pandas DataFrames that are then merged together (Option B): Web APIs commonly return data in JSON format, and databases can export data as JSON. In Python, JSON data can be easily converted to pandas DataFrames using pandas.read_json() or pandas.DataFrame(), and then merged using pandas.merge() on a common key, making this the best approach.
* Convert the data from the API and database to a TXT format and convert them to pandas DataFrames that are then merged together (Option C): TXT is a generic text format that lacks structure, making it less efficient for merging compared to JSON.
* Convert the data from the API and database to a string format and convert them to pandas DataFrames that are then merged together (Option D): Converting to a string format is vague and not a standard approach for structured data merging in Python.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," such as combining data from APIs and databases, and JSON is a standard format for this purpose in Python.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.
NEW QUESTION # 85
Which of the following best describes the function of a data type?
- A. To provide a generic identifier for files used in analysis
- B. To identify the program needed to open a file
- C. To make the addition of individual records simpler
- D. To differentiate the real value of the field in its context
Answer: D
NEW QUESTION # 86
A senior manager needs a report that can be generated and accessed at any time. Which of the following delivery methods should a data analyst use?
- A. Static
- B. Self-service
- C. Dynamic
- D. Ad hoc
Answer: B
Explanation:
This question is part of theVisualization and Reportingdomain, focusing on report delivery methods. The requirement for a report that can be generated and accessed at any time suggests user-driven access.
* Ad hoc (Option A): Ad hoc reports are one-time, on-demand reports, not designed for anytime access by the user.
* Dynamic (Option B): Dynamic reports allow interactivity but don't necessarily imply user-generated access at any time.
* Self-service (Option C): Self-service reporting allows users (e.g., the senior manager) to generate and access reports on-demand at any time, fitting the requirement.
* Static (Option D): Static reports are fixed and don't allow on-demand generation by the user.
The DA0-002 Visualization and Reporting domain includes "the appropriate visualization in the form of a report" with delivery methods, and self-service is ideal for anytime access.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
NEW QUESTION # 87
A data analyst learns that a report detailing employee sales is reflecting sales only for the current month. Which of the following is the most likely cause?
- A. Lack of permissions
- B. Connectivity issues
- C. Report refresh failure
- D. An error in SQL code
Answer: D
NEW QUESTION # 88
A data analyst receives the following sales data for a convenience store:
Item
Quantity
Price
Chocolate Bars
7
$1.99
Vanilla Ice Bars
2
$4.99
Chocolate Wafers
6
$0.99
Peanut Butter
2
$2.99
Cups
3
$4.99
Strawberry Jam
3
$4.99
Chocolate Cake
9
$6.99
Milk Chocolate
2
$2.99
Almonds
5
$2.99
The analyst needs to provide information on the products that contain chocolate. Which of the following RegEx should the analyst use to filter the chocolate products?
- A. Chocolate$
- B. #Chocolate#$
- C. Chocolate!
- D. %Chocolate&
Answer: A
Explanation:
This question falls under theData Acquisition and Preparationdomain, which includes techniques for manipulating and filtering data, such as using regular expressions (RegEx) to identify specific patterns in text data. The task is to filter items containing the word "Chocolate."
* Chocolate! (Option A): In RegEx, "!" is not a valid pattern for matching a word like "Chocolate." It typically denotes negation in some contexts, but here it's incorrect.
* Chocolate$ (Option B): The "$" in RegEx anchors the pattern to the end of the string, meaning it matches "Chocolate" at the end of an item name (e.g., "Milk Chocolate"). This is the most appropriate pattern for identifying items ending with "Chocolate," which applies to the relevant items in the list.
* %Chocolate& (Option C): "%" and "&" are not standard RegEx anchors; they're often used in SQL LIKE patterns, not RegEx, making this incorrect.
* #Chocolate#$ (Option D): "#" is not a standard RegEx anchor, and this pattern would look for
"Chocolate" surrounded by "#", which doesn't match the data.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation" , and RegEx is a common technique for filtering text data. The pattern "Chocolate$" correctly identifies items like
"Chocolate Bars," "Chocolate Wafers," "Chocolate Cake," and "Milk Chocolate." Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation
NEW QUESTION # 89
A complex report is being created from a database. Within the database the storage location of the orders, packaging, and logistics details is unclear. The table's attributes names are abbreviated and not easily identifiable. Which of the following types of documentation would be most useful for reference lookup?
- A. Data flow diagrams
- B. Data dictionary
- C. Database specifications
- D. Entity-relationship diagrams
Answer: B
Explanation:
A data dictionary provides detailed descriptions of database tables, attributes, and their meanings, helping clarify unclear or abbreviated field names.
NEW QUESTION # 90
A manager wants a report that contains the days off for each direct report. The manager needs this report to always be up-to-date with the latest data. Which of the following describes the refresh frequency that the manager is requesting?
- A. Real-time
- B. Snapshot
- C. Dynamic
- D. Ad hoc
Answer: A
Explanation:
This question pertains to theVisualization and Reportingdomain, focusing on report refresh frequencies. The manager needs the report to always be up-to-date, implying continuous data updates.
* Real-time (Option A): Real-time refresh frequency ensures the report reflects the latest data as soon as it changes, which matches the requirement to "always be up-to-date."
* Ad hoc (Option B): Ad hoc reports are generated on-demand, not continuously updated.
* Snapshot (Option C): A snapshot captures data at a specific point in time, not suitable for always being up-to-date.
* Dynamic (Option D): Dynamic reports allow interactivity, but the term doesn't specifically imply real- time updates.
The DA0-002 Visualization and Reporting domain includes "the appropriate visualization in the form of a report" with delivery methods, and real-time refresh frequency ensures the report is always current.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
NEW QUESTION # 91
Which of the following best describes the reason an analyst would reference a data dictionary versus a source's metadata?
- A. To find the content and specific attributes for a dataset
- B. To gather information about the availability of the data
- C. To find a summary of basic information about the dataset
- D. To gather information and resources about the data
Answer: A
Explanation:
This question is part of theData Concepts and Environmentsdomain, focusing on the purpose of data documentation tools like data dictionaries and metadata. The question compares their uses.
* To gather information and resources about the data (Option A): This is too vague and not specific to a data dictionary's purpose.
* To find the content and specific attributes for a dataset (Option B): A data dictionary provides detailed definitions of data elements (e.g., field names, types, descriptions), which is more specific than metadata, which often includes broader information like creation date or source.
* To find a summary of basic information about the dataset (Option C): This better describes metadata, which provides high-level summaries, not detailed attributes.
* To gather information about the availability of the data (Option D): Neither a data dictionary nor metadata typically focuses on data availability.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and a data dictionary is specifically used to find detailed attributes of a dataset.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.
NEW QUESTION # 92
A data analyst is gathering data from multiple tables in a database. The analyst needs certain columns from each table. Which of the following is the best method to accomplish this task?
- A. Nest
- B. Union
- C. Aggregate
- D. Join
Answer: D
Explanation:
This question falls under theData Acquisition and Preparationdomain, focusing on combining data from multiple tables. The analyst needs specific columns from each table, suggesting a method to combine data horizontally based on relationships.
* Aggregate (Option A): Aggregation (e.g., SUM, COUNT) summarizes data, not suitable for combining columns from tables.
* Union (Option B): Union stacks tables vertically, requiring identical structures, but the analyst needs specific columns, likely based on relationships, not a vertical stack.
* Nest (Option C): Nesting is used for hierarchical data (e.g., JSON), not for combining relational tables.
* Join (Option D): A join (e.g., INNER JOIN) combines tables horizontally based on a common key, allowing the analyst to select specific columns from each table, which fits the task.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," and joining tables is the best method for combining specific columns from multiple tables.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.
NEW QUESTION # 93
Which of the following AI types is the best option for time-series forecasting?
- A. Foundational models
- B. Natural language processing
- C. Robotic process automation
- D. Generative AI
Answer: A
Explanation:
Foundational models are large AI models trained on vast amounts of data, often exhibiting strong generalization capabilities. While not specifically architected for time-series, their ability to learn complex patterns could potentially be leveraged for forecasting tasks through fine-tuning or specialized architectures built upon them.
In reality, the best AI types specifically designed for time-series forecasting include:
* Recurrent Neural Networks (RNNs), especially LSTMs and GRUs:These architectures are designed to handle sequential data and capture temporal dependencies.
* Transformer Networks:Originally developed for NLP, Transformers have shown remarkable success in time-series forecasting due to their ability to capture long-range dependencies.
* Traditional statistical models:ARIMA, Exponential Smoothing, and other statistical methods remain powerful and interpretable options for time-series analysis.
Therefore, while "foundational models" have some potential, it's important to understand that they aren't the primary or specifically designed AI type for time-series forecasting.
NEW QUESTION # 94
Which of the following report types is considered the most important in a legal and compliance context?
- A. Investment
- B. Regulatory
- C. Performance
- D. Operational
Answer: B
Explanation:
Regulatory reports are critical in legal and compliance contexts because they ensure adherence to laws, regulations, and standards.
NEW QUESTION # 95
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