DA0-002 Exam Guide: CompTIA Data+ Exam - DA0-002 Exam Collection

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CompTIA DA0-002 Exam Syllabus Topics:

SectionWeightObjectives
Data Mining25%- Data processing and transformation
- Data collection and extraction methods
- Data manipulation and cleaning techniques
Visualization20%- Visualization best practices
- Chart and dashboard design principles
- Data storytelling and reporting tools
Data Analysis25%- Statistical methods and analysis techniques
- Trend and pattern identification
- Data interpretation and reporting
Data Governance, Quality, and Controls15%- Data quality management
- Data governance frameworks and policies
- Compliance, privacy, and security controls
Data Concepts and Environments15%- Data lifecycle and data ecosystems
- Data storage systems and platforms
- Data types, structures, and file formats

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CompTIA Data+ Exam Sample Questions (Q88-Q93):

NEW QUESTION # 88
A data company needs a visualization that shows the availability zones from the last ten years and any future availability zones that the company will be using in the next five years. Which of the following is the most appropriate visualization to display this information?

Answer: A

Explanation:
This question falls under the Visualization and Reporting domain of CompTIA Data+ DA0-002, focusing on selecting the appropriate visualization for a specific dataset. The task is to show availability zones over a
15-year period (past and future), which involves a geographical element since availability zones are typically location-based.
* Bar chart (Option A): Bar charts are good for comparing categorical data but don't effectively show geographical locations or time-based trends across zones.
* Mosaic plot (Option B): Mosaic plots display relationships between categorical variables, not suitable for geographical or time-series data.
* Map (Option C): A map can display availability zones geographically, with annotations or layers to show changes over time (past 10 years and future 5 years), making it the most appropriate visualization.
* Pie chart (Option D): Pie charts show proportions of a whole, not suitable for geographical or time- based data.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and a map is the best choice for displaying geographical availability zones over time.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.


NEW QUESTION # 89
A data analyst is creating a forecast for a product line introduced early last year. Which of the following should the analyst use to create projected sales and customer satisfaction for next year?

Answer: A

Explanation:
Numerical attributes are used for quantitative forecasting such as projected sales, while ordinal attributes represent ordered categories like customer satisfaction levels, making them appropriate for forecasting both types of outcomes.


NEW QUESTION # 90
A data company needs a visualization that shows the availability zones from the last ten years and any future availability zones that the company will be using in the next five years. Which of thefollowing is the most appropriate visualization to display this information?

Answer: A

Explanation:
A map is best suited to display geographic information such as availability zones over time, allowing users to visualize locations and changes across regions.


NEW QUESTION # 91
An analyst needs to produce a final dataset using the following tables:
CourseID
SectionNumber
StudentID
MATH1000
1
10009
MATH1000
2
10007
PSYC1500
1
10009
PSYC1500
1
10015
StudentID
FirstName
LastName
10009
Jane
Smith
10007
John
Doe
10015
Robert
Roe
The expected output should be formatted as follows:
| CourseID | SectionNumber | StudentID | FirstName | LastName |
Which of the following actions is the best way to produce the requested output?

Answer: C

Explanation:
This question falls under theData Acquisition and Preparationdomain, focusing on combining tables to produce a dataset. The task requires combining the Courses and Students tables to include student names with course details, based on the StudentID.
* Aggregate (Option A): Aggregation (e.g., SUM, COUNT) summarizes data, not suitable for combining tables to include names.
* Join (Option B): A join operation (e.g., INNER JOIN on StudentID) combines the tables, matching records to produce the requested output with CourseID, SectionNumber, StudentID, FirstName, and LastName.
* Group (Option C): Grouping is used for aggregation (e.g., GROUP BY in SQL), not for combining tables.
* Filter (Option D): Filtering selects specific rows, not relevant for combining tables.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," such as joining tables to create a unified dataset.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.


NEW QUESTION # 92
An analyst is recording the following financial transaction data with a vendor:
59.99, 49.50, 70.49
Which of the following data types is the best way to record this information?

Answer: B

Explanation:
Currency data type is specifically designed to store monetary values with appropriate precision and formatting for financial transactions.


NEW QUESTION # 93
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