VALID DA0-002 PRACTICE QUESTIONS, VCE DA0-002 FILES

Valid DA0-002 Practice Questions, Vce DA0-002 Files

Valid DA0-002 Practice Questions, Vce DA0-002 Files

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Tags: Valid DA0-002 Practice Questions, Vce DA0-002 Files, Exam Topics DA0-002 Pdf, DA0-002 Latest Test Fee, DA0-002 Latest Test Format

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Free PDF Quiz 2025 CompTIA DA0-002: CompTIA Data+ Exam (2025) First-grade Valid Practice Questions

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CompTIA Data+ Exam (2025) Sample Questions (Q94-Q99):

NEW QUESTION # 94
A data analyst is joining two tables with different content and one common field. Which of the following should the analyst do to most efficiently meet this requirement?

  • A. Match the records of the related columns and merge the tables.
  • B. Append the values of the matching columns and concatenate the other data fields.
  • C. Create a cluster to facilitate data integration between the tables.
  • D. Explode both tables to identify unique values and reorder the fields in one table.

Answer: A

Explanation:
This question falls under theData Acquisition and Preparationdomain, focusing on combining data from multiple tables. The tables have different content but share a common field, indicating a join operation.
* Match the records of the related columns and merge the tables (Option A): This describes a join operation, where records are matched on the common field (e.g., a key like Customer_ID) and the tables are merged, which is the most efficient method.
* Create a cluster to facilitate data integration between the tables (Option B): Clustering is a machine learning technique, not a method for joining tables.
* Explode both tables to identify unique values and reorder the fields in one table (Option C):
Exploding is used in nested data (e.g., JSON arrays), and this approach is overly complex and unnecessary.
* Append the values of the matching columns and concatenate the other data fields (Option D):
Appending stacks tables vertically, and concatenation applies to text, neither of which is appropriate for joining tables with a common field.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," such as joining tables using a common field.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.


NEW QUESTION # 95
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. Union
  • B. Join
  • C. Aggregate
  • D. Nest

Answer: B

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 # 96
A data analyst is designing a report for the business review team. The team lists the following requirements for the report:
* Specific data points
* Color branding
* Labels and terminology
* Suggested charts and tables
Which of the following components is missing from the requirements?

  • A. Design elements
  • B. Delivery method
  • C. Source validation
  • D. Report type

Answer: B

Explanation:
This question falls under theVisualization and Reportingdomain of CompTIA Data+ DA0-002, which involves understanding the components necessary for designing a report. The given requirements cover data, visuals, and design, but a key aspect of report planning is missing.
* Source validation (Option A): Source validation ensures data accuracy, but it's typically part of the data preparation phase, not a report design requirement.
* Design elements (Option B): Color branding, labels, and terminology are design elements, so this is already included.
* Delivery method (Option C): The delivery method (e.g., recurring, ad hoc, self-service) specifies how the report will be distributed or accessed, which is a critical requirement missing from the list.
* Report type (Option D): Suggested charts and tables imply the report type (e.g., summary, dashboard), so this is indirectly covered.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and the delivery method is a key component of report planning that's missing here.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.


NEW QUESTION # 97
Given the following dataset:
Day
Number of Guests
Monday
455
Tuesday
346
Wednesday
382
Thursday
563
Friday
887
Saturday
934
Sunday
346
Which of the following is the mode?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: D

Explanation:
This question falls under theData Analysisdomain, focusing on statistical measures. The mode is the value that appears most frequently in a dataset.
* Monday: 455
* Tuesday: 346
* Wednesday: 382
* Thursday: 563
* Friday: 887
* Saturday: 934
* Sunday: 346
The value 346 appears twice (Tuesday and Sunday), while all other values (455, 382, 563, 887, 934) appear once. Thus, the mode is 346.
* Option A: 346- Correct, as it's the most frequent value.
* Option B: 446- Incorrect, as 446 doesn't appear in the dataset.
* Option C: 455- Incorrect, as 455 appears only once.
* Option D: 559- Incorrect, as 559 doesn't appear in the dataset.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and the mode is a fundamental measure of central tendency.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.


NEW QUESTION # 98
A data analyst must combine service calls into low-, medium-, and high-priority levels in order to analyze organizational responses. Which of the following techniques should the analyst use for this task?

  • A. Binning
  • B. Imputation
  • C. Scaling
  • D. Augmentation

Answer: A

Explanation:
This question pertains to theData Analysisdomain, focusing on techniques for categorizing data. The task involves grouping service calls into priority levels (low, medium, high), which requires segmenting numerical or ordinal data into discrete categories.
* Augmentation (Option A): Augmentation involves adding data (e.g., in machine learning), not categorizing existing data.
* Imputation (Option B): Imputation fills in missing values, not relevant for categorizing priority levels.
* Scaling (Option C): Scaling adjusts numerical data to a common range (e.g., normalization), not suitable for creating priority categories.
* Binning (Option D): Binning groups continuous or ordinal data into discrete categories (e.g., assigning calls to low, medium, or high priority based on a metric like response time), which fits the task.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and binning is a standard technique for categorizing data for analysis.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.


NEW QUESTION # 99
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