DA0-002 Latest Exam Experience, Cert DA0-002 Guide

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CompTIA DA0-002 Exam Syllabus Topics:

Topic	Details
Topic 1	Visualization: This section of the exam measures skills of a Data Visualisation Specialist and focuses on turning raw data into clear, visual insights. It teaches how to match visual formats like bar charts, heat maps, and line graphs to specific audiences and needs. Candidates must understand how to create dashboards and reports using proper design elements such as labels, layout, branding, and colour schemes. This section also includes best practices for dashboard development and delivery through various platforms and user access levels.
Topic 2	Data Mining: This section of the exam measures skills of a Business Intelligence Analyst and covers how data is collected, cleaned, and prepared for analysis. It explains methods like ETL and ELT for data integration, as well as web scraping, API use, and survey data collection. Candidates are expected to identify issues like missing or duplicated data and apply techniques like filtering, sorting, merging, and normalizing. The section also touches on query optimization strategies to improve data handling efficiency.
Topic 3	5.0 Data Governance, Quality, and Controls
Topic 4	This section of the exam measures skills of a Data Governance Associate and introduces principles for keeping data secure, accurate, and compliant. It covers access controls, encryption, classification of sensitive data like PII and PHI, and legal requirements tied to data use. Candidates must know how to apply quality checks, validate data, and manage master data effectively. It also addresses best practices for maintaining integrity through data dictionaries, audits, and standardisation processes.
Topic 5	Data Analysis: This section of the exam measures skills of a Reporting Analyst and includes foundational knowledge of statistical methods such as averages, variances, and standard deviation. It covers how to use data to find patterns, track performance, and make predictions. This domain also introduces hypothesis testing, regression, correlation, and different types of analysis like exploratory and trend analysis. Candidates should also be aware of common tools used for analysis, including Excel, SQL, Python, R, and popular BI platforms like Tableau and Power BI.

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CompTIA Data+ Exam Sample Questions (Q182-Q187):

NEW QUESTION # 182
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. An error in SQL code
B. Connectivity issues
C. Report refresh failure
D. Lack of permissions

Answer: A

NEW QUESTION # 183
A data analyst receives an email from the IT department about renewing the company password, and the analyst follows the password reset link as required. Later in the week, the analyst receives the following notification when running a recurring analysis that connects to the database:
Log-in failed for user '<username>'
Which of the following is most likely the reason for this issue?

A. The analyst did not change the password used to launch the report.
B. The password expiration process locked the account.
C. The company is experiencing issues with password replication.
D. The company changed its database authentication method.

Answer: A

Explanation:
The recurring analysis likely uses stored database credentials. After the analyst changed the company password, the password saved in the report, scheduled job, or database connection was no longer valid. As a result, the automated process failed authentication and returned the log-in error.

NEW QUESTION # 184
Which of the following is the most efficient to use when programming repeatable tasks?

A. Deep learning
B. LLM
C. NLP
D. RPA

Answer: D

Explanation:
Robotic process automation is designed to automate repetitive, rule-based tasks, making it the most efficient choice for repeatable processes.

NEW QUESTION # 185
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 LIKE 'D%';
B. SELECT * FROM Employee WHERE emp_city IN ('Dade', 'FL');
C. SELECT * FROM Employee WHERE emp_city = 'Dade' AND emp_st = 'FL';
D. SELECT * FROM Employee WHERE emp_city = 'Dade' OR emp_st = 'FL';

Answer: C

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 # 186
A business intelligence analyst is creating an employee retention dashboard that looks at data from the last five years. The analyst is interested in identifying patterns that can be studied further. Which of the following is the best method to apply to the dashboard?

A. Diagnostic
B. Descriptive
C. Predictive
D. Prescriptive

Answer: A

Explanation:
This question falls under theData Analysisdomain, focusing on analytical methods for dashboards. The analyst wants to identify patterns in historical data for further study, which points to a specific type of analytics.
* Predictive (Option A): Predictive analytics forecasts future outcomes, not focused on identifying patterns for further study.
* Prescriptive (Option B): Prescriptive analytics provides recommendations, which goes beyond identifying patterns.
* Diagnostic (Option C): Diagnostic analytics examines historical data to identify patterns, trends, and correlations, enabling further investigation, which fits the scenario.
* Descriptive (Option D): Descriptive analytics summarizes what happened but doesn't focus on identifying patterns for deeper study.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and diagnostic analytics is best for pattern identification in historical data.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.

NEW QUESTION # 187
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