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CompTIA DA0-001 Latest Study Notes: CompTIA Data+ Certification Exam & Latest CompTIA Certification Training
Our CompTIA DA0-001 practice exam simulator mirrors the DA0-001 exam experience, so you know what to anticipate on CompTIA Data+ Certification Exam (DA0-001) certification exam day. Our CompTIA Data+ Certification Exam practice test TestBraindump features various question styles and levels, so you can customize your CompTIA DA0-001 Exam Questions preparation to meet your needs.
CompTIA DA0-001 exam covers a wide range of topics, including database concepts, data modeling, data warehousing, data visualization, and data security. DA0-001 exam is designed to test the practical knowledge of candidates in these areas and their ability to apply this knowledge in real-world scenarios. DA0-001 Exam consists of 90 multiple-choice questions, and candidates have 90 minutes to complete it.
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Is The CompTIA DA0-001 Exam Worth It
CompTIA Data+ exam is worth it, but only if you are looking for a career in IT. If you are just looking for a career, then it is not worth it. The CompTIA Data+ certification is not about learning how to use the computer, it is about understanding the system and how to use it effectively. It takes many years of training and experience to become proficient at using this type of software.
The CompTIA Data+ exam is designed to screen out candidates who have no concept of what they are doing when they work with computers. It requires that you have some knowledge of what the different parts of a computer do, how they work together and how they interact with each other. It also requires that you have some basic familiarity with networking systems and networks in general as well as knowledge about security issues related to computers and networks in general. CompTIA DA0-001 Exam Dumps are the key of success.
The CompTIA Data+ certification is an excellent starting point for anyone who wants to learn more about IT but does not have any formal training or education in this area yet. It can serve as a great entry point into the world of technology if you have already been exposed to computers but don't know much about them.
One of the key benefits of obtaining the CompTIA Data+ Certification is the opportunity to advance your career in the data management field. CompTIA Data+ Certification Exam certification is recognized by many employers and provides a competitive advantage over other candidates who do not hold this certification. Additionally, certified professionals can expect to earn higher salaries than non-certified professionals in similar roles.
CompTIA Data+ Certification Exam Sample Questions (Q278-Q283):
NEW QUESTION # 278
A data analyst has been asked to derive a new variable labeled "Promotion_flag" based on the total quantity sold by each salesperson. Given the table below:
Which of the following functions would the analyst consider appropriate to flag "Yes" for every salesperson who has a number above 1,000,000 in the Quantity_sold column?
- A. Mathematical
- B. Logical
- C. Date
- D. Aggregate
Answer: B
Explanation:
A logical function is a type of function that returns a value based on a condition or a set of conditions. For example, the IF function in Excel can be used to check if a certain condition is met, and then return one value if true, and another value if false. In this case, the data analyst can use a logical function to check if the Quantity_sold column is greater than 1,000,000, and then return "Yes" if true, and "No" if false. This would create a new variable called Promotion_flag that indicates whether the salesperson has sold more than
1,000,000 units or not. References: CompTIA Data+ Certification Exam Objectives, Logical functions (reference)
NEW QUESTION # 279
A junior web developer is developing a new application where users can upload short videos. The first task is to create a homepage that shows the headline "Upload Your Short Videos" and a clickable button that says
"upload now".
Which of the following HTML commands would help the developer to complete the task successfully?
- A. < span >Upload Your Short Videos< /span >< button >upload now< /button >
- B. < hl >Upload Your Short Videos< /h1 >< hl >upload now< /h1 >
- C. < hl >Upload Your Short Videos< /h1 >< button >upload now< /button >
- D. < p >Upload Your Short Videos< /p >< p >upload now< /p >
Answer: C
Explanation:
The HTML commands that would help the developer to complete the task successfully are <h1>Upload Your Short Videos</h1> and <button>upload now</button>. The <h1> tag defines a heading level 1, which is the largest and most important heading on a webpage. The <button> tag defines a clickable button that can perform some action when clicked. The other options are not suitable for the task, as they either use the wrong tags or do not create a clickable button. The <span> tag defines a section of text with no specific meaning or formatting. The <p> tag defines a paragraph of text. The <hl> tag does not exist in HTML. Reference: HTML Tags - W3Schools
NEW QUESTION # 280
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?
- A. Include a scatter chart using sales volume and average sales per customer.
- B. Include a column chart using the site and sales to average sales per customer.
- C. Include a pie chart using the site and sales to average sales per customer.
- D. Include a line chart using the site and average sales per customer.
Answer: A
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 # 281
Which of the following is a process that is used during data integration to collect, blend, and load data?
- A. OLTP
- B. BI
- C. MDM
- D. ETL
Answer: D
Explanation:
ETL is a process that is used during data integration to collect, blend, and load data. ETL stands for extract, transform, and load, which are the three main steps involved in moving data from different sources to a common destination, such as a data warehouse or a data lake. ETL helps to consolidate and standardize data for analysis and reporting purposes. Reference: CompTIA Data+ Certification Exam Objectives, page 12
NEW QUESTION # 282
Andy is a pricing analyst for a retailer. Using a hypothesis test, he wants to assess whether people who receive electronic coupons spend more on average.
What should Andy's null hypothesis be?
- A. People who receive electronic coupons do not spend more on average.
- B. People who receive electronic coupons spend more on average.
- C. People who do not receive electronic coupons spend more on average.
- D. People who receive electronic coupons spend less on average.
Answer: A
Explanation:
The null hypothesis presumes the status quo. Andy is testing whether or not people who receive an electronic coupon spend more on average, so, the null hypothesis states that people who receive the coupon do spend more on average.
NEW QUESTION # 283
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