100% PASS COMPTIA DA0-001 - MARVELOUS COMPTIA DATA+ CERTIFICATION EXAM HOT SPOT QUESTIONS

100% Pass CompTIA DA0-001 - Marvelous CompTIA Data+ Certification Exam Hot Spot Questions

100% Pass CompTIA DA0-001 - Marvelous CompTIA Data+ Certification Exam Hot Spot Questions

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Tags: DA0-001 Hot Spot Questions, Free DA0-001 Test Questions, Reliable DA0-001 Test Experience, DA0-001 Exam Details, DA0-001 New Dumps Ppt

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The CompTIA Data+ Certification Exam certification exam is one of the top-rated career advancement certification exams. The CompTIA DA0-001 certification exam can play a significant role in career success. With the CompTIA Data+ Certification Exam (DA0-001) certification, you can gain several benefits such as validation of skills, career advancement, competitive advantage, continuing education, and global recognition of your skills and knowledge.

CompTIA Data+ Certification Exam is a valuable credential for IT professionals who work with data. It demonstrates that the candidate has the knowledge and skills required to manage and analyze data effectively and securely. Employers may require or prefer candidates who hold this certification for roles such as data analyst, data scientist, database administrator, or business intelligence analyst. CompTIA Data+ Certification Exam certification can also help professionals advance their career by improving their job prospects and earning potential.

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Free DA0-001 Test Questions & Reliable DA0-001 Test Experience

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CompTIA Data+ Certification Exam Sample Questions (Q47-Q52):

NEW QUESTION # 47
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 spend less on average.
  • B. People who receive electronic coupons spend more on average.
  • C. People who receive electronic coupons do not spend more on average.
  • D. People who do not receive electronic coupons spend more on average.

Answer: C

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 # 48
Given the below:

Which of the following numbers represents a Type I error?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: A


NEW QUESTION # 49
A data analyst is developing a dashboard to track and monitor metrics. Which of the following best practices should be taken into during the FIRST pment process?

  • A. Create a A Aupirarrame:
  • B. Copy a dashboard design from the Internet.
  • C. Deploy to production.
  • D. Develop a dashboard.

Answer: A

Explanation:
A dashboard is a graphical display that summarizes and presents key performance indicators (KPIs) and metrics for a business or a project. A dashboard should be clear, concise, and easy to understand. To develop a dashboard, one of the best practices is to create a wireframe or a mockup first. A wireframe or a mockup is a low-fidelity sketch or prototype of the dashboard layout and design, which helps to define the scope, requirements, and functionality of the dashboard. Creating a wireframe or a mockup can help to save time and resources, as well as to get feedback from stakeholders and users before deploying the dashboard to production. Therefore, the correct answer is A. Reference: [Dashboard Design Best Practices: 4 Key Principles | Toptal], [How to Create an Effective Dashboard (with Examples) | Tableau]


NEW QUESTION # 50
A data analyst for a media company needs to determine the most popular movie genre. Given the table below:

Which of the following must be done to the Genre column before this task can be completed?

  • A. Concatenate
  • B. Delimit
  • C. Append
  • D. Merge

Answer: B

Explanation:
Delimiting is the process of splitting a column of data into multiple columns based on a separator or delimiter character. Delimiting can help separate data that is combined or concatenated in one column into distinct values or categories. For example, if a column contains text values that are separated by commas, such as "Comedy, Suspense", delimiting can split this column into two columns, one for "Comedy" and one for "Suspense". Delimiting is different from other options, such as appending, merging, or concatenating, which are methods of combining or joining data from multiple columns or sources. In this case, the data analyst needs to determine the most popular movie genre based on the Genre column in the table. However, this column contains multiple genres for each movie, separated by commas. Therefore, the data analyst must delimit this column before this task can be completed. Therefore, the correct answer is D. Reference: Split text into different columns with functions - Office Support, How to Split Text in Excel (Using Formulas & Split Function)


NEW QUESTION # 51
A data analyst has been asked to create a sales report that calculates the rolling 12-month average for sales. If the report will be published on November 1, 2020, which of the following months shouts the report cover?

  • A. November 1, 2019 to October 31, 2020
  • B. October 31, 2020 to November 1, 2021
  • C. October 1, 2019 to October 31, 2020
  • D. October 31, 2019 to October 31, 2020

Answer: C

Explanation:
Explanation
The report should cover the months from October 1, 2019 to October 31, 2020. A rolling 12-month average is a type of moving average that calculates the average of the last 12 months of data for each month. It is useful for smoothing out seasonal fluctuations and identifying long-term trends in the data. To calculate the rolling
12-month average for sales for November 1, 2020, the analyst needs to use the sales data from the previous 12 months, starting from November 1, 2019 and ending on October 31, 2020. The other options are either too short or too long to cover the required period.


NEW QUESTION # 52
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