DA0-002 Questions Answers - CompTIA CompTIA Data+ Exam - High Pass-Rate Real DA0-002 Dumps Free

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CompTIA DA0-002 Exam Syllabus Topics:

SectionWeightObjectives
Data Governance, Quality, and Controls16%- Security and privacy
  • 1. Data classification and protection
  • 2. Foundational AI considerations in data lifecycle
  • 3. Access controls and encryption
  • 4. Audit trails and logging
- Data quality management
  • 1. Quality assessment and monitoring
  • 2. Remediation strategies
  • 3. Quality dimensions (accuracy, completeness, consistency)
- Data governance frameworks
  • 1. Policies, standards, and procedures
  • 2. Data stewardship and ownership
  • 3. Compliance requirements (GDPR, CCPA, etc.)
Data Concepts and Environments20%- Database fundamentals
  • 1. Cloud and containerized data environments
  • 2. Schemas and data models
  • 3. Relational vs. non-relational databases
- Data types and metadata
  • 1. Data types (string, numeric, Boolean, date)
  • 2. Metadata and its role in data management
- Data structures and formats
  • 1. Structured, semi-structured, and unstructured data
  • 2. File types and their use cases
  • 3. Common data formats (JSON, XML, CSV)
Visualization15%- Dashboard and report design
  • 1. Dashboard components and layout
  • 2. Chart types and their applications
  • 3. Visualization best practices
- Storytelling with data
  • 1. Narrative techniques for data communication
  • 2. Audience-appropriate visuals
  • 3. Executive summaries and key insights
Data Analysis24%- Inferential statistics
  • 1. Correlation and regression basics
  • 2. Hypothesis testing
  • 3. Confidence intervals
- Analysis tools and techniques
  • 1. Libraries and functions for analysis
  • 2. SQL for data analysis
  • 3. BI platforms and notebooks
- Descriptive statistics
  • 1. Measures of dispersion
  • 2. Measures of central tendency
  • 3. Data distributions
Data Mining25%- Data acquisition and collection
  • 1. ETL/ELT processes
  • 2. Data sources and ingestion methods
  • 3. APIs and connectors
- Data preparation and cleansing
  • 1. Data cleaning techniques
  • 2. Data normalization and transformation
  • 3. Handling missing values and duplicates
- Data enrichment and integration
  • 1. Joining and merging datasets
  • 2. Derived columns and calculated fields
  • 3. Data mapping and lineage

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CompTIA Data+ Exam Sample Questions (Q35-Q40):

NEW QUESTION # 35
The sales department wants to include the composition of total sales amounts across all three sales channels in a report. Given the following sample sales table:

Which of the following visualizations is the most appropriate?

Answer: A


NEW QUESTION # 36
A data analyst is following up on a recent, company-wide data audit of customer invoice data.
Which of the following is the best option for the analyst to use?

Answer: D


NEW QUESTION # 37
Which of the following best explains the purpose of data lineage?

Answer: A

Explanation:
Data lineage documents the lifecycle of data, showing how it moves and changes as it passes through systems, processes, and transformations--from initial acquisition to final reporting and consumption. It helps organizations understand where data came from, how it was modified, and whether it can be trusted for decision-making.


NEW QUESTION # 38
A data analyst needs to create a combined report that includes information from the following two tables:
Managers table
ID
First_name
Last_name
Job_title
1001
John
Doe
Manager
1002
Jane
Roe
Director
Non-managers table
ID
First_name
Last_name
Job_title
1003
Robert
Roe
Business Analyst
1004
Jane
Doe
Sales Representative
1005
John
Roe
Operations Analyst
Which of the following query methods should the analyst use for this task?

Answer: B

Explanation:
This question pertains to theData Acquisition and Preparationdomain, focusing on combining data from two tables. Both tables have the same structure (ID, First_name, Last_name, Job_title) and contain employee data, suggesting the task is to create a single list of all employees.
* Group (Option A): Grouping (e.g., GROUP BY in SQL) is for aggregation (e.g., counting employees by job title), not combining tables into a single report.
* Join (Option B): Joining tables (e.g., INNER JOIN) requires a common key and combines tables horizontally, but there's no indication of a relationship between the tables (e.g., no shared key beyond ID, which isn't linked).
* Union (Option C): UNION combines the rows of two tables with the same structure into a single result set, removing duplicates, which is ideal for creating a combined report of all employees from both tables.
* Nested (Option D): Nested queries (e.g., subqueries) are used for complex filtering, not for combining tables into a single list.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," and UNION is the best method for combining two tables with identical structures into a single report.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.


NEW QUESTION # 39
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?

Answer: D

Explanation:
Real-time refresh ensures the report is continuously updated with the latest data as changes occur, keeping it always current.


NEW QUESTION # 40
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