[Dec 06, 2025] Today Updated DA0-001 Exam Dumps Actual Questions
DA0-001 exam dumps with real CompTIA questions and answers
CompTIA Data+ Exam Certification Details:
| Duration | 90 mins |
| Sample Questions | CompTIA Data+ Sample Questions |
| Schedule Exam | Pearson VUE |
| Number of Questions | 90 |
| Passing Score | 675 / 900 |
| Exam Code | DA0-001 |
| Books / Training | CompTIA Data+ Certification Training |
NEW QUESTION # 118
Given the following data:
Which of the following BEST describes the data set?
- A. The data is outliers.
- B. There is data bias.
- C. The data is inconsistent.
- D. The data is incomplete.
Answer: C
NEW QUESTION # 119
An analyst needs to provide a chart to identify the composition between the categories of the survey response data set:
Which of the following charts would be BEST to use?
- A. Waterfall
- B. Line
- C. Histogram
- D. Pie
- E. Scatter pot
Answer: D
Explanation:
Explanation
The best chart to use to identify the composition between the categories of the survey response data set is a pie chart. A pie chart is a circular chart that shows the relative proportions of different categories in a whole. A pie chart is divided into slices that represent the percentage or frequency of each category. A pie chart is suitable for displaying categorical data that has a few categories and does not have any hierarchical or temporal relationship. In this case, a pie chart can show the composition of the favorite colors among the survey respondents, as well as the percentage of each color. The other options are not as good as a pie chart for this purpose, as they are more suitable for displaying numerical data that has some kind of distribution, trend, correlation, or comparison. A histogram is a bar chart that shows the frequency distribution of a single numerical variable. A line chart is a chart that shows the change of one or more numerical variables over time or another continuous variable. A scatter plot is a chart that shows the relationship between two numerical variables by plotting them as points on a Cartesian plane. A waterfall chart is a chart that shows how an initial value is increased or decreased by a series of intermediate values, resulting in a final value. Reference:
[Choosing the Right Chart Type - DataCamp]
NEW QUESTION # 120
An analyst is designing a dashboard that will provide a story of the sales and sales customer ratio. The following data is available:
Which of the following charts should the analyst consider including in the dashboard?
- A. A pie chart with site and sales
- B. A column chart with site and sales
- C. A line chart with site and sales
- D. A scatter chart with site and sales
Answer: B
Explanation:
For a dashboard that aims to tell a story about sales and the sales customer ratio, a column chart is an effective choice. Column charts are particularly useful for showing data changes over a period of time or for illustrating comparisons among items. In this case, a column chart can clearly display the sales figures for each site, allowing for easy comparison across different sites. Additionally, it can be used to represent the sales customer ratio by showing the proportion of sales per customer, which can provide insights into customer behavior and sales effectiveness.
* Line charts are best suited for displaying data trends over time, rather than for comparing individual categories.
* Pie charts could show the proportion of sales for each site, but they are not as effective as column charts for comparing multiple categories.
* Scatter charts are used to show the relationship between two variables, which is not the focus in this scenario.
References:
* Effective Use of Column Charts1
* Choosing the Right Chart for Your Data2
* Sales Dashboards: Examples & Templates3
NEW QUESTION # 121
Given the following table:
Which of the following describes the data quality issues with theagedata?
- A. Completeness
- B. Manipulation
- C. Consistency
- D. Accuracy
Answer: C
Explanation:
Comprehensive and Detailed In-Depth
Data consistency refers to ensuring that all values in a dataset follow a uniform format and structure. In this dataset:
One age value is recorded as "65F," which includes anextra character (F)that makes it inconsistent with other numeric age values.
The date formats are inconsistent (6/1/22 vs. 6/19/2022), but this is unrelated to the age issue.
Option A (Completeness):Incorrect. There are no missing values in the age column.
Option B (Consistency):Correct.The age data should be consistently formatted asnumeric values only, without extra characters like "F." Option C (Accuracy):Incorrect. There is no evidence that theactual age valuesare incorrect, only that they are formatted inconsistently.
Option D (Manipulation):Incorrect. There is no indication that the data was intentionally altered for deception.
NEW QUESTION # 122
Which one of the following programming languages is specifically designed for use in analytics applications?
- A. Python.
- B. C++
- C. R
- D. Java.
Answer: C
NEW QUESTION # 123
Which of the following differentiates a flat text file from other data types?
- A. Data is stored in defined rows.
- B. Data is separated by a delimiter.
- C. Data is housed in a markup language.
- D. Data is defined with key-value pairs.
Answer: B
NEW QUESTION # 124
A data analyst is creating a report that will provide information about various regions, products, and time periods. Which of the following formats would be the MOST efficient way to deliver this report?
- A. A dashboard with filters at the top that the user can toggle
- B. A workbook with multiple tabs for each region
- C. A daily email with snapshots of regional summaries
- D. A static report with a different page for every filtered view
Answer: A
Explanation:
A dashboard with filters at the top that the user can toggle would be the most efficient way to deliver this report, because it allows the user to customize the view and explore different combinations of regions, products, and time periods. A workbook with multiple tabs for each region would be cumbersome and repetitive. A daily email with snapshots of regional summaries would not provide enough detail or interactivity. A static report with a different page for every filtered view would be too long and hard to navigate. References: CompTIA Data+ Certification Exam Objectives, page 14
NEW QUESTION # 125
A data analyst must separate the column shown below into multiple columns for each component of the name:
Which of the following data manipulation techniques should the analyst perform?
- A. Concatenating
- B. Transposing
- C. Imputing
- D. Parsing
Answer: D
NEW QUESTION # 126
A data analyst is asked to create a sales report for the second-quarter 2020 board meeting, which will include a review of the business's performance through the second quarter. The board meeting will be held on July 15, 2020, after the numbers are finalized. Which of the following report types should the data analyst create?
- A. Static
- B. Dynamic
- C. Self-service
- D. Real-time
Answer: A
NEW QUESTION # 127
Joe. an analyst. tests the loading time on a dashboard he is preparing to go live and finds it is slower than he would like. Which of the following must occur to decrease the loading time?
- A. Optimize the dashboard.
- B. Change the field definitions.
- C. Update the dashboard subscribers.
- D. Deploy the dashboard to production.
Answer: A
Explanation:
Optimizing the dashboard is the process of improving its performance and reducing its loading time by applying various techniques and best practices. Some of the common ways to optimize a dashboard are:
Reducing the size and complexity of the data model, such as removing unnecessary columns, aggregating data at the source, or using data compression techniques12 Leveraging caching strategies, such as setting appropriate cache refresh intervals or utilizing Power BI's built-in caching mechanisms, to minimize data retrieval delays2 Utilizing query folding, direct query, or live connection to enhance data processing efficiency and enable real-time data updates23 Optimizing DAX queries, such as avoiding nested calculations, using variables, or simplifying measures, to improve data calculation speed23 Reducing visualizations and calculations, such as using fewer or simpler charts, filters, or parameters, to speed up dashboard rendering12 Evaluating the impact of custom visuals on dashboard load time and avoiding or replacing those that are slow or inefficient2 Applying aggregation and summarization techniques, such as using extract filters, context filters, or level of detail expressions, to reduce the amount of data displayed on the dashboard1 Troubleshooting and resolving any issues that may cause slow dashboard load, such as network latency, server overload, or hardware limitations24
NEW QUESTION # 128
Melissa wants to explore central tendency in her dataset.
Which statistic best matches her need?
- A. Interquartile range.
- B. Median.
- C. Range.
- D. Standard deviation.
Answer: B
Explanation:
Correct answer C. Median.
The Median is the middle observation of variable and is, therefore, a measure of central tendency.
Interquartile range is a measure of position.
Range and Standard deviation are both measures of dispersion.
NEW QUESTION # 129
What data obfuscation technique is designed to be reversible?
- A. Masking
- B. Tokenization
- C. Deletion
- D. Hashing
Answer: B
NEW QUESTION # 130
A gambler thinks that a coin is fair and is equally likely to turn up heads or tails when the coin is flipped. Which of the following tests should the gambler use to fest this hypothesis?
- A. Ratio test
- B. Rank sum test
- C. Chi-squared test
- D. t-test
Answer: C
NEW QUESTION # 131
Given the following graph:
Which of the following summary statements upholds integrity in data reporting?
- A. Strategy 4 provides the best sales in comparison to other strategies.
- B. Product D should be promoted more than the other products in all strategies.
- C. While Strategy 2 does not result in the highest sales of Product D, over all products it appears to be the most effective.
- D. Sales are approximately equal for Product A and Product B across all strategies.
Answer: A
Explanation:
Strategy 4 provides the best sales in comparison to other strategies. This is because the total sales for Strategy
4 are the highest among all the strategies, as shown by the black line. The other statements are not accurate or do not uphold integrity in data reporting. Here is why:
Statement A is false because sales are not approximately equal for Product A and Product B across all strategies. For example, in Strategy 1, Product A has more sales than Product B, while in Strategy 3, Product B has more sales than Product A.
Statement C is misleading because it does not account for the difference in scale between the products. While Strategy 2 has the highest total sales among all products, it does not necessarily mean that it is the most effective for each product. For instance, Product D has very low sales in Strategy 2 compared to other strategies.
Statement D is biased because it does not provide any evidence or justification for why Product D should be promoted more than the other products in all strategies. It also ignores the fact that Product D has the lowest sales among all products in most of the strategies.
NEW QUESTION # 132
Which of the following techniques should an analyst use to analyze a data set to get a snapshot of basic measures of central tendency?
- A. Forecasting
- B. Descriptive statistics
- C. Gap analysis
- D. Trend analysis
Answer: B
Explanation:
Comprehensive and Detailed In-Depth Explanation:
Measures of central tendency are statistical metrics that describe the center point or typical value of a dataset.
The primary measures include mean (average), median (middle value), and mode (most frequent value).
* Descriptive Statistics: This branch of statistics involves summarizing and organizing data to describe its main features. It includes calculating measures of central tendency (mean, median, mode) and measures of dispersion (range, variance, standard deviation). Descriptive statistics provide a comprehensive snapshot of the dataset's characteristics.
* Forecasting: This involves making predictions about future data points based on historical data. While valuable for planning, it doesn't provide insights into the current dataset's central tendency.
* Trend Analysis: This technique examines data over time to identify patterns or trends. It's useful for understanding data direction but doesn't focus on central tendency measures.
* Gap Analysis: This method compares actual performance with potential or desired performance, identifying gaps between current and expected outcomes. It doesn't relate to measures of central tendency.
Therefore, to obtain basic measures of central tendency, an analyst should employ descriptive statistics.
NEW QUESTION # 133
The director of operations at a power company needs data to help identify where company resources should be allocated in order to monitor activity for outages and restoration of power in the entire state. Specifically, the director wants to see the following:
* County outages
* Status
* Overall trend of outages
INSTRUCTIONS:
Please, select each visualization to fit the appropriate space on the dashboard and choose an appropriate color scheme. Once you have selected all visualizations, please, select the appropriate titles and labels, if applicable.
Titles and labels may be used more than once.
If at any time you would like to bring back the initial state of the simulation, please click the Reset All button.
Answer:
Explanation:
Power outages
Explanation:
This is a simulation question that requires you to create a dashboard with visualizations that meet the director' s needs. Here are the steps to complete the task:
* Drag and drop the visualization that shows the county outages on the top left space of the dashboard.
This visualization is a map of the state with different colors indicating the number of outages in each county. You can choose any color scheme that suits your preference, but make sure that the colors are consistent and clear. For example, you can use a gradient of red to show the counties with more outages and green to show the counties with less outages.
* Drag and drop the visualization that shows the status of the outages on the top right space of the dashboard. This visualization is a pie chart that shows the percentage of outages that are active, restored, or pending. You can choose any color scheme that suits your preference, but make sure that the colors are distinct and easy to identify. For example, you can use red for active, green for restored, and yellow for pending.
* Drag and drop the visualization that shows the overall trend of outages on the bottom space of the dashboard. This visualization is a line graph that shows the number of outages over time. You can choose any color scheme that suits your preference, but make sure that the color is visible and contrasted with the background. For example, you can use blue for the line and white for the background.
* Select appropriate titles and labels for each visualization. Titles and labels may be used more than once.
For example, you can use "County Outages" as the title for the map, "Status" as the title for the pie chart, and "Trend" as the title for the line graph. You can also use "County", "Number of Outages",
"Active", "Restored", "Pending", "Time", and "Number of Outages" as labels for the axes and legends of the visualizations.
NEW QUESTION # 134
When building a word cloud, what feature varies with the frequency that a word appears in the text?
- A. Font color.
- B. Font style.
- C. Font placement.
- D. Font size.
Answer: D
NEW QUESTION # 135
Which of the ing is the correct ion for a tab-delimited spre file?
- A. tar
- B. az
- C. sv
- D. tap
Answer: C
Explanation:
A tab-delimited spreadsheet file is a type of flat text file that uses tabs as delimiters to separate data values in a table. The file extension for a tab-delimited spreadsheet file is usually .tsv, which stands for tab-separated values. Therefore, the correct answer is C. Reference: [Tab-separated values - Wikipedia], [What is a TSV File? | How to Open, Edit & Convert TSV Files]
NEW QUESTION # 136
Which one of the following is a common data warehouse schema?
- A. Spiral.
- B. Square.
- C. Snowflake.
- D. Sphere.
Answer: C
Explanation:
Explanation
Snowflake enables data storage, processing, and analytic solutions that are faster, easier to use, and far more flexible than traditional offerings. The Snowflake data platform is not built on any existing database technology or "big data" software platforms such as Hadoop.
NEW QUESTION # 137
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