COMPTIA DA0-001 EXAM | DA0-001 FREE DUMPS - DA0-001: COMPTIA DATA+ CERTIFICATION EXAM

CompTIA DA0-001 Exam | DA0-001 Free Dumps - DA0-001: CompTIA Data+ Certification Exam

CompTIA DA0-001 Exam | DA0-001 Free Dumps - DA0-001: CompTIA Data+ Certification Exam

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CompTIA Data+ Certification Exam Sample Questions (Q193-Q198):

NEW QUESTION # 193
Which of the following is the first step an analyst should perform upon receiving a business request for analysis?

  • A. Initiate the analysis for exploratory data analysis.
  • B. Finalize the methodology to solve the problem.
  • C. Review the business questions to understand the scope.
  • D. Determine the data needs and sources for analysis.

Answer: C

Explanation:
Review the business questions to understand the scope.
The first step an analyst should perform upon receiving a business request for analysis is to review the business questions to understand the scope of the problem, the objectives, and the expected outcomes. This will help the analyst to define the analytical approach, identify the data needs and sources, and plan the analysis process.Reviewing the business questions will also help the analyst to communicate with the stakeholders and clarify any assumptions or ambiguities1.
Option A is incorrect, as determining the data needs and sources for analysis is not the first step, but rather a subsequent step that depends on the business questions and the analytical approach.
Option B is incorrect, as initiating the analysis for exploratory data analysis is not the first step, but rather a part of the analysis process that involves examining and summarizing the data, identifying patterns and outliers, and testing hypotheses.
Option D is incorrect, as finalizing the methodology to solve the problem is not the first step, but rather a later step that involves selecting and applying the appropriate analytical techniques, tools, and models to answer the business questions.


NEW QUESTION # 194
Randy scored 76 on a math test, Katie scored 86 on a science test, Ralph scored 80 on a history test, and Jean scored 80 on an English test. The table below contains the mean and standard deviation of the scores for each of the courses:

Using this information, which of the following students had the BEST score?

  • A. Randy
  • B. Ralph
  • C. Jean
  • D. Katie

Answer: D

Explanation:
To compare the students' scores, we need to standardize them by using the z-score formula, which is:
z = (x - μ) / σ
where x is the raw score, μ is the mean, and σ is the standard deviation. The z-score tells us how many standard deviations a score is above or below the mean. A higher z-score means a better score relative to the average.
Using the table, we can calculate the z-scores for each student as follows:
Randy: z = (76 - 70) / 2 = 3 Katie: z = (86 - 80) / 3 = 2 Ralph: z = (80 - 75) / 2 = 2.5 Jean: z = (80 - 90) / 1 = -10 The student with the highest z-score is Randy, with a z-score of 3. This means that Randy scored 3 standard deviations above the mean in math, which is the best performance among the four students. Therefore, the correct answer is A.


NEW QUESTION # 195
Given the following table:

Which of the following methods is the best way to describe the changes in the values in the table?

  • A. Range
  • B. Standard deviation
  • C. Average
  • D. Median

Answer: A


NEW QUESTION # 196
An analyst is explaining the company's financial systems and reporting tools to a new coworker. Which of the following data quality dimensions are the most important? (Select three).

  • A. Data consistency
  • B. Data accuracy
  • C. Data diversity
  • D. Data formatting
  • E. Data deletion
  • F. Data field
  • G. Data maturity
  • H. Data completeness

Answer: A,B,H

Explanation:
Comprehensive and Detailed In-Depth Explanation:
In the context of financial systems and reporting tools, ensuring high data quality is paramount. The most critical dimensions of data quality in this scenario include:
Option B:Data accuracy
* Rationale:Data accuracy refers to the correctness and precision of the data. In financial systems, inaccurate data can lead to erroneous reports, affecting decision-making and potentially leading to financial losses. Ensuring that data accurately reflects real-world values is essential.
Option E:Data completeness
* Rationale:Data completeness ensures that all necessary data is present and accounted for. Missing data can result in incomplete analyses and reports, which can misinform stakeholders and lead to suboptimal decisions.
Option F:Data consistency
* Rationale:Data consistency involves maintaining uniformity and coherence of data across different systems and reports. Inconsistent data can cause discrepancies in financial reporting, undermining trust in the data and leading to confusion.


NEW QUESTION # 197
Different people manually type a series of handwritten surveys into an online database. Which of the following issues will MOST likely arise with this data? (Choose two.)

  • A. Data manipulation
  • B. Data constraints
  • C. Data attribute limitations
  • D. Data accuracy
  • E. Data bias
  • F. Data consistency

Answer: A,D


NEW QUESTION # 198
......

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