DA0-001 VALID EXAM TESTKING - DA0-001 CLEARER EXPLANATION

DA0-001 Valid Exam Testking - DA0-001 Clearer Explanation

DA0-001 Valid Exam Testking - DA0-001 Clearer Explanation

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The CompTIA DA0-001 exam covers a range of topics, including data storage and management, database design and implementation, data analysis and reporting, and data security and compliance. Candidates must demonstrate a comprehensive understanding of these topics in order to pass the exam and earn their certification.

CompTIA DA0-001, also known as the CompTIA Data+ Certification Exam, is a vendor-neutral certification exam designed to validate the skills and knowledge of a data professional. DA0-001 Exam is ideal for individuals who are looking to establish a career in the field of data analytics, management, and processing. It is also suitable for those who are already working in the industry and want to enhance their skills and knowledge.

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CompTIA Data+ Certification Exam Sample Questions (Q162-Q167):

NEW QUESTION # 162
An analyst is compiling a series of reports for the new executive board to review. Which of the following elements provides a snapshot of what is contained in the reports for the executives who do not have time to focus on the details?

  • A. Tables
  • B. Reference data sources
  • C. Observations and insights
  • D. Instruction page

Answer: C

Explanation:
Observations and insights provide a concise summary of the key findings in a report. Executives, who often lack the time to analyze detailed datasets, benefit from these summarized interpretations, which highlight the most relevant trends, anomalies, and conclusions derived from the data.


NEW QUESTION # 163
Which of the following BEST describes the issue in which character values are mixed with integer values in a data set column?

  • A. Invalid data type
  • B. Duplicate data
  • C. Missing data
  • D. Data outliers

Answer: A

Explanation:
The invalid data type is the best description for the issue in which character values are mixed with integer values in a data set column. Invalid data type means that the data does not match the expected or required format or structure for a given variable or attribute. For example, if a column is supposed to store numerical values, but some rows contain text values, then those rows have an invalid data type. Reference: CompTIA Data+ Certification Exam Objectives, page 10


NEW QUESTION # 164
Which of the following are reasons to conduct data cleansing? (Select two).

  • A. To increase the sample size
  • B. To improve accuracy
  • C. To calculate trends
  • D. To review data sets
  • E. To track KPls
  • F. To perform web scraping

Answer: B,C

Explanation:
Explanation
Two reasons to conduct data cleansing are:
To improve accuracy: Data cleansing helps to ensure that the data is correct, consistent, and reliable.
This can improve the quality and validity of the analysis, as well as the decision-making and outcomes based on the data12 To calculate trends: Data cleansing helps to remove or resolve any errors, outliers, or missing values that could distort or skew the data. This can help to identify and measure the patterns, changes, or relationships in the data over time13


NEW QUESTION # 165
Which one of the following in NOT a common data integration tool?

  • A. ELT
  • B. ETL
  • C. APIs
  • D. XSS

Answer: D

Explanation:
Cross-site Scripting (XSS) is a security vulnerability usually found in websites and/or web applications that accept user input.
XSS is a client-side vulnerability that targets other application users, while SQL injection is a server-side vulnerability that targets the application's database. How do I prevent XSS in PHP? Filter your inputs with a whitelist of allowed characters and use type hints or type casting.


NEW QUESTION # 166
An analyst must obtain the average daily sales for the following week:

Which of the following must the analyst perform to obtain this value?

  • A. Data normalization
  • B. Data blending
  • C. Data aggregation
  • D. Data append

Answer: C

Explanation:
Explanation
Data aggregation is the process of compiling data from multiple sources and summarizing it into a single dataset. Data aggregation can be used to calculate statistics, such as averages, sums, counts, or percentages. In this case, the analyst must obtain the average daily sales for the following week, which is a statistic that can be calculated by aggregating the sales data from each day and dividing by the number of days. Data aggregation can be done using various tools and methods, such as spreadsheets, databases, or programming languages.


NEW QUESTION # 167
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