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CompTIA DA0-002 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Mining	25%	- Data acquisition and collection 1. APIs and connectors 2. Data sources and ingestion methods 3. ETL/ELT processes - Data preparation and cleansing 1. Handling missing values and duplicates 2. Data cleaning techniques 3. Data normalization and transformation - Data enrichment and integration 1. Joining and merging datasets 2. Derived columns and calculated fields 3. Data mapping and lineage
Topic 2: Visualization	15%	- Dashboard and report design 1. Dashboard components and layout 2. Visualization best practices 3. Chart types and their applications - Storytelling with data 1. Audience-appropriate visuals 2. Narrative techniques for data communication 3. Executive summaries and key insights
Topic 3: Data Analysis	24%	- Descriptive statistics 1. Measures of dispersion 2. Data distributions 3. Measures of central tendency - Analysis tools and techniques 1. Libraries and functions for analysis 2. SQL for data analysis 3. BI platforms and notebooks - Inferential statistics 1. Correlation and regression basics 2. Confidence intervals 3. Hypothesis testing
Topic 4: Data Governance, Quality, and Controls	16%	- Data governance frameworks 1. Policies, standards, and procedures 2. Data stewardship and ownership 3. Compliance requirements (GDPR, CCPA, etc.) - Security and privacy 1. Audit trails and logging 2. Access controls and encryption 3. Foundational AI considerations in data lifecycle 4. Data classification and protection - Data quality management 1. Remediation strategies 2. Quality assessment and monitoring 3. Quality dimensions (accuracy, completeness, consistency)
Topic 5: Data Concepts and Environments	20%	- Data types and metadata 1. Data types (string, numeric, Boolean, date) 2. Metadata and its role in data management - Database fundamentals 1. Schemas and data models 2. Relational vs. non-relational databases 3. Cloud and containerized data environments - 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)

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CompTIA Data+ Exam Sample Questions (Q84-Q89):

NEW QUESTION # 84
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?

A. PII
B. GDPR
C. ISO
D. PCI DSS

Answer: B

NEW QUESTION # 85
Which of the following differentiates stress testing from UAT?

A. Stress testing engages end users in the testing process
B. Stress testing identifies potential failures and optimizes performance
C. Stress testing gathers feedback to share with developers
D. Stress testing detects flaws missed during design and development

Answer: B

Explanation:
Stress testing evaluates how a system performs under extreme or peak conditions to identify potential failures, bottlenecks, and performance limitations. Its purpose is to assess system resilience and optimize performance, whereas UAT focuses on validating that the system meets business and user requirements before deployment.

NEW QUESTION # 86
A data analyst needs to remove all duplicate values between two tables, "Employees" and "Managers," using SQL SELECT statements. Which of the following should the analyst use for this task?

A. SELECT * FROM Employees JOIN SELECT * FROM Managers
B. SELECT * FROM Employees UNION ALL SELECT * FROM Managers
C. SELECT * FROM Employees UNION SELECT * FROM Managers
D. SELECT * FROM Employees CROSS JOIN SELECT * FROM Managers

Answer: C

Explanation:
This question pertains to theData Acquisition and Preparationdomain, focusing on combining and deduplicating data using SQL. The task is to remove duplicates between two tables, meaning the analyst needs a unique set of records from both.
* SELECT * FROM Employees UNION ALL SELECT * FROM Managers (Option A): UNION ALL combines all rows from both tables, including duplicates, which doesn't meet the requirement.
* SELECT * FROM Employees UNION SELECT * FROM Managers (Option B): UNION combines rows from both tables and automatically removes duplicates, providing a unique set of records, which fits the task.
* SELECT * FROM Employees JOIN SELECT * FROM Managers (Option C): This syntax is incorrect; a JOIN requires an ON clause, and it wouldn't remove duplicates.
* SELECT * FROM Employees CROSS JOIN SELECT * FROM Managers (Option D): A CROSS JOIN creates a Cartesian product, resulting in all possible combinations, not removing duplicates.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," and UNION is the correct SQL operation for combining tables while removing duplicates.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.

NEW QUESTION # 87
The following SQL code returns an error in the program console:
SELECT firstName, lastName, SUM(income)
FROM companyRoster
SORT BY lastName, income
Which of the following changes allows this SQL code to run?

A. SELECT firstName, lastName, SUM(income) FROM companyRoster ORDER BY firstName, income
B. SELECT firstName, lastName, SUM(income) FROM companyRoster
C. SELECT firstName, lastName, SUM(income) FROM companyRoster HAVING SUM(income) >
10000000
D. SELECT firstName, lastName, SUM(income) FROM companyRoster GROUP BY firstName, lastName

Answer: A

Explanation:
The error occurs because SORT BY is not valid SQL syntax. To sort query results, SQL uses the ORDER BY clause. Replacing SORT BY with ORDER BY allows the statement to execute correctly and return the results ordered by the specified columns.

NEW QUESTION # 88
A data analyst needs to create and deliver a dashboard that displays the company's financial transactions as they are updated. Which of the following delivery methods should the analyst consider? (Select two).

A. Snapshot
B. Static
C. Time series
D. Dynamic
E. Ad hoc
F. Real-time

Answer: D,F

NEW QUESTION # 89
......

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