A data analyst is validating a sales dataset and notices that the total monthly revenue for one region is unexpectedly high. Before investigating further, the analyst wants to quickly identify which specific days or transactions are driving this anomaly. Which visualization should the analyst create first?

A time-series line chart of daily revenue for that region

A scatter plot of revenue versus number of transactions

A pie chart showing the proportion of revenue by product category

A histogram of transaction amounts

A data analyst needs to investigate a sudden drop in website conversion rates. The analyst has access to a SQL database with raw event logs, a data visualization tool, and a spreadsheet application. What is the most appropriate first step to diagnose the issue?

Write a SQL query to aggregate daily conversion rates and then plot the results in the visualization tool to identify the exact date of the drop

Ask a colleague to review the conversion rate formula in the dashboard, as the data is likely correct

Open the raw event logs in the spreadsheet application and manually scan for anomalies

Immediately create a detailed report in the visualization tool without first querying the database

An analyst receives the error message 'Division by zero' while running a calculation. What does this error message indicate about the data?

The data is missing a column header

The data is too large to process

The data contains text in a numeric field

The data contains a zero value in a denominator

A data analyst needs to perform a complex statistical analysis (e.g., logistic regression) on a dataset with 50,000 rows and 20 columns. The analysis requires reproducible code. Which tool is the most appropriate choice?

A spreadsheet application, as it is the most common tool for data analysis

A programming language like Python or R, as they are designed for complex statistical analysis and reproducible scripts

A word processing application, as it can be used to write down the analysis steps

A data visualization tool, as it is the best for statistical analysis

CompTIAData+

Domain 3Objective 3

Troubleshoot Analysis Issues DA0-001 Practice Questions (Page 2)

Part of the Data analysis domain, which accounts for 24% of the DA0-001 exam. CompTIA does not publish an official question count, but from its 90-minute exam (~35–60 total, ~8–14 in this domain), expect 3–5 from this objective — we provide 32 practice questions to prepare you well beyond it. (estimate)

32questions here

7free pages

7concepts

24%of the exam

Questions 6–10

6foundation · easy
An analyst wants to quickly identify outliers in a continuous numeric variable. Which type of data visualization is most appropriate for this purpose?
Select an answer first
7application · medium
A data analyst is validating a sales dataset and notices that the total monthly revenue for one region is unexpectedly high. Before investigating further, the analyst wants to quickly identify which specific days or transactions are driving this anomaly. Which visualization should the analyst create first?
Select an answer first
8application · medium
A data analyst needs to investigate a sudden drop in website conversion rates. The analyst has access to a SQL database with raw event logs, a data visualization tool, and a spreadsheet application. What is the most appropriate first step to diagnose the issue?
Select an answer first
9foundation · easy
An analyst receives the error message 'Division by zero' while running a calculation. What does this error message indicate about the data?
Select an answer first
10application · medium
A data analyst needs to perform a complex statistical analysis (e.g., logistic regression) on a dataset with 50,000 rows and 20 columns. The analysis requires reproducible code. Which tool is the most appropriate choice?
Select an answer first

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Troubleshoot Analysis Issues DA0-001 Practice Questions (Page 2)

Questions 6–10

An analyst wants to quickly identify outliers in a continuous numeric variable. Which type of data visualization is most appropriate for this purpose?

A data analyst needs to investigate a sudden drop in website conversion rates. The analyst has access to a SQL database with raw event logs, a data visualization tool, and a spreadsheet application. What is the most appropriate first step to diagnose the issue?

An analyst receives the error message 'Division by zero' while running a calculation. What does this error message indicate about the data?

A data analyst needs to perform a complex statistical analysis (e.g., logistic regression) on a dataset with 50,000 rows and 20 columns. The analysis requires reproducible code. Which tool is the most appropriate choice?

Keep studying — Data analysis