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| Certification Vendor: | CompTIA |
|---|---|
| Exam Name: | CompTIA Data+ Certification Exam |
| Exam Number: | DA0-001 |
| Exam Duration: | 90 minutes |
| Passing Score: | 675 (on a scale of 100–900) |
| Available Languages: | English, Japanese, Thai |
| Exam Format: | Multiple Choice, Performance-Based Questions |
| Exam Price: | $255 USD |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | Maximum of 90 |
| Related Certifications: | CompTIA Data+ |
| Sample Questions: | CompTIA DA0-001 Sample Questions |
| Exam Way: | Online or at a Pearson VUE testing center |
| Pre Condition: | CompTIA recommends 18–24 months of experience in a report/business analyst job role, exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experience. |
| Official Syllabus URL: | https://www.comptia.org/certifications/data |
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CompTIA DA0-001 certification exam, also known as the CompTIA Data+ Certification, is a highly respected and globally recognized certification for professionals with a strong interest in data management. CompTIA Data+ Certification Exam certification is designed to validate the skills and knowledge of individuals in managing and protecting data throughout its lifecycle. The CompTIA DA0-001 Certification Exam covers various topics such as data storage, backup and recovery, security, privacy, and compliance.
NEW QUESTION # 66
Which of the following best describes how discrete data differs from continuous data?
Answer: D
Explanation:
Explanation
Discrete data are data that can only assume specific values that are countable and distinct. For example, the number of books, the number of heads in a coin toss, or the number of patients in a hospital are discrete data. Discrete data cannot have fractional or decimal values, and there are clear spaces between the possible values12.
Continuous data are data that can assume any value within a range and can be meaningfully divided into smaller parts. For example, the weight, height, length, time, or temperature are continuous data. Continuous data can have fractional or decimal values, and there are infinite numbers of possible values between any two points12.
NEW QUESTION # 67
An analyst has written the following code:
SELECT *
FROM Cust_table
WHERE age > 60 AND City = "New York"
Which of the following criteria is the analyst retrieving?
Answer: A
Explanation:
The SQL query provided is selecting all records from the Cust_table where the age column has values greater than 60 and the City column matches "New York". The > operator selects values that are strictly greater than the comparison value, so it does not include customers aged exactly 60. The term "New York" in the context of a city database typically refers to New York City, not the state of New York. Therefore, the correct answer is that the analyst is retrieving data for all customers older than age 60 in New York City.
Reference:
The use of the > operator in SQL is to select values greater than the specified value1.
Understanding the WHERE clause in SQL and its use in filtering records based on specified conditions2.
Clarification on the distinction between city and state names in database records3.
NEW QUESTION # 68
Given the image below:
Which of the following file formats is depicted?
Answer: A
Explanation:
The image depicts a snippet of code in the JSON format, which stands for JavaScript Object Notation. JSON is a lightweight data-interchange format that is easy for humans to read and write and easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language and is commonly used to transmit data in web applications.
CSV, or Comma-Separated Values, is a simple file format used to store tabular data, such as a spreadsheet or database. It uses commas to separate values.
XML, or eXtensible Markup Language, is a markup language that defines a set of rules for encoding documents in a format that is both human-readable and machine-readable.
HTML, or HyperText Markup Language, is the standard markup language for documents designed to be displayed in a web browser.
Reference:
JSON.org - Introducing JSON1
W3Schools - JSON Introduction2
Mozilla Developer Network - JSON3
NEW QUESTION # 69
Given the customer table below:
Which of the following chart types is the most appropriate to represent the average spending of active customers vs. inactive customers?
Answer: C
Explanation:
A Pie chart is the most suitable for representing the average spending of active customers versus inactive customers. Pie charts are effective for comparing parts of a whole, which makes them ideal for visually displaying the proportion of spend between two distinct groups. They are widely used to depict percentage distributions and are straightforward, allowing immediate analysis of the active vs. inactive customer spending distribution at a glance.
NEW QUESTION # 70
A data analyst is designing a dashboard that will provide a story of sales and determine which site is providing the highest sales volume per customer. The analyst must choose an appropriate chart to include in the dashboard. The following data is available:
Which of the following types of charts should be considered?
Answer: C
Explanation:
A scatter chart using sales volume and average sales per customer is the best type of chart to include in the dashboard. A scatter chart is a type of chart that displays the relationship between two numerical variables using dots or markers. A scatter chart can show how one variable affects another, how strong the correlation is between them, and how the data points are distributed. In this case, a scatter chart can show the story of sales and determine which site is providing the highest sales volume per customer by plotting the sales volume on the x-axis and the average sales per customer on the y-axis. Each dot on the chart will represent a site, and the analyst can easily compare the sites based on their position on the chart. A site with a high sales volume and a high average sales per customer will be in the upper right quadrant, indicating a high performance. A site with a low sales volume and a low average sales per customer will be in the lower left quadrant, indicating a low performance. A site with a high sales volume and a low average sales per customer will be in the lower right quadrant, indicating a high volume but low value. A site with a low sales volume and a high average sales per customer will be in the upper left quadrant, indicating a low volume but high value. A scatter chart can also show if there is a positive or negative correlation between the two variables, or if there is no correlation at all.
A positive correlation means that as one variable increases, so does the other. A negative correlation means that as one variable increases, the other decreases. No correlation means that there is no relationship between the two variables.
The other types of charts are not as suitable for this purpose. A line chart is a type of chart that displays the change of one or more variables over time using lines. A line chart can show trends, patterns, and fluctuations in the data. However, in this case, there is no time variable involved, so a line chart would not be appropriate.
A pie chart is a type of chart that displays the proportion of each category in a whole using slices of a circle.
A pie chart can show how each category contributes to the total and compare the relative sizes of each category. However, in this case, there are two numerical variables involved, so a pie chart would not be able to show their relationship. A column chart is a type of chart that displays the comparison of one or more variables across categories using vertical bars. A column chart can show how each category differs from each other and rank them by size. However, in this case, a column chart would not be able to show the relationship between sales volume and average sales per customer, as it would only show one variable for each site.
NEW QUESTION # 71
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