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| Topic | Details |
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| Topic 1 | - 5.0 Data Governance, Quality, and Controls
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| Topic 2 | - 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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| Topic 3 | - 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.
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CompTIA Data+ Exam Sample Questions (Q44-Q49):
NEW QUESTION # 44
A data analyst receives a request for the current employee head count and runs the following SQL statement:
SELECT COUNT(EMPLOYEE_ID) FROM JOBS
The returned head count is higher than expected because employees can have multiple jobs. Which of the following should return an accurate employee head count?
- A. SELECT JOB_TYPE, COUNT(DISTINCT EMPLOYEE_ID) FROM JOBS
- B. SELECT COUNT(DISTINCT EMPLOYEE_ID) FROM JOBS
- C. SELECT DISTINCT COUNT(EMPLOYEE_ID) FROM JOBS
- D. SELECT JOB_TYPE, COUNT DISTINCT(EMPLOYEE_ID) FROM JOBS
Answer: B
Explanation:
This question falls under theData Analysisdomain of CompTIA Data+ DA0-002, which involves using SQL queries to analyze data and address issues like duplicates in datasets. The issue here is that the initial query counts all instances of EMPLOYEE_ID in the JOBS table, but employees can have multiple jobs, leading to an inflated head count. The goal is to count unique employees.
* SELECT JOB_TYPE, COUNT DISTINCT(EMPLOYEE_ID) FROM JOBS (Option A): This query is syntactically incorrect because COUNT DISTINCT(EMPLOYEE_ID) should use parentheses as COUNT(DISTINCT EMPLOYEE_ID). It also groups by JOB_TYPE, which is unnecessary for a total head count.
* SELECT DISTINCT COUNT(EMPLOYEE_ID) FROM JOBS (Option B): This query is incorrect because DISTINCT applies to the rows returned, not the COUNT function directly. It doesn't address the duplicate EMPLOYEE_ID issue.
* SELECT JOB_TYPE, COUNT(DISTINCT EMPLOYEE_ID) FROM JOBS (Option C): While this query correctly uses COUNT(DISTINCT EMPLOYEE_ID) to count unique employees, grouping by JOB_TYPE breaks the count into separate groups, which isn't required for a total head count.
* SELECT COUNT(DISTINCT EMPLOYEE_ID) FROM JOBS (Option D): This query correctly counts only unique EMPLOYEE_IDs by using the DISTINCT keyword within the COUNT function, providing an accurate total head count without grouping.
The DA0-002 Data Analysis domain emphasizes "given a scenario, applying the appropriate descriptive statistical methods using SQL queries," which includes handling duplicates with functions like COUNT (DISTINCT). Option D is the most direct and accurate method for a total unique head count.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
NEW QUESTION # 45
A manager wants to know how the company's sales have improved over the last year. The manager asks a data analyst to provide a report with the required information. Which of the following approaches should the analyst use?
- A. Accessibility
- B. Mock-up
- C. Granular
- D. Key performance indicators
Answer: D
Explanation:
Key performance indicators (KPIs) are measurable metrics used to evaluate business performance over time. To determine how sales have improved during the last year, the analyst should use KPIs that track sales growth and performance trends, providing the manager with a clear assessment of progress.
NEW QUESTION # 46
A data scientist is presenting a summary speech on current AI trends in the data industry to local high school students. Which of the following should the data scientist consider first when developing the presentation?
- A. The technical knowledge of the audience
- B. The accessibility of the slide deck
- C. The frequency of reporting
- D. The sensitivity of the data
Answer: A
Explanation:
The technical knowledge of the audience should be considered first because it determines the appropriate level of detail, terminology, and complexity of the presentation. Since the audience consists of high school students, the content should be tailored to their likely level of understanding to ensure effective communication.
NEW QUESTION # 47
A data analyst creates a report, and some of the fields are empty. Which of the following conditions should the analyst add to a query to provide a list of all the records with empty fields?
- A. WHERE [ColumnName] IS NULL
- B. WHERE [ColumnName] IS NOT NULL
- C. WHERE [ColumnName] = NULL
- D. WHERE [ColumnName] = 'NULL'
Answer: A
Explanation:
This question falls under theData Analysisdomain, focusing on SQL queries to identify data issues. The task is to find records with empty fields, which in SQL means NULL values.
* WHERE [ColumnName] = NULL (Option A): In SQL, NULL cannot be compared using "="; this syntax is incorrect.
* WHERE [ColumnName] IS NULL (Option B): This is the correct SQL syntax to identify NULL values, which represent empty fields.
* WHERE [ColumnName] IS NOT NULL (Option C): This finds non-empty fields, the opposite of the requirement.
* WHERE [ColumnName] = 'NULL' (Option D): This checks for the string "NULL," not a true NULL value, which is incorrect.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods using SQL queries," such as identifying NULL values with IS NULL.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
NEW QUESTION # 48
A data breach occurs at a company. Which of the following actions should be taken?
- A. Keep the incident a secret until the issue is resolved.
- B. Make an announcement on social media so customers are aware as soon as possible.
- C. Tell the company management team and then tell regulatory agencies.
- D. Inform the entire IT sector, but ask for discretion.
Answer: C
Explanation:
This question falls under theData Governancedomain, focusing on data breach response protocols. A data breach requires a structured response to comply with legal and regulatory requirements.
* Make an announcement on social media so customers are aware as soon as possible (Option A):
Public announcement without internal coordination or regulatory notificationcan lead to legal issues and loss of trust.
* Tell the company management team and then tell regulatory agencies (Option B): This follows best practices: inform internal leadership to coordinate a response, then notify regulatory agencies as required by laws (e.g., GDPR mandates notification within 72 hours).
* Keep the incident a secret until the issue is resolved (Option C): This violates regulations requiring timely breach notification.
* Inform the entire IT sector, but ask for discretion (Option D): Sharing with the IT sector is vague and risks leaks; regulatory agencies should be prioritized.
The DA0-002 Data Governance domain includes "data privacy concepts," such as proper breach response procedures, emphasizing internal and regulatory notification.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
NEW QUESTION # 49
......
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