CompTIA DA0-001 Exam Papers - DA0-001 Examcollection Vce
CompTIA DA0-001 Exam Papers - DA0-001 Examcollection Vce
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What Do You Know About The Need For CompTIA DA0-001 Exam
CompTIA Data+ is the industry's standard for preparing for entry-level IT jobs. CompTIA Data+ validates that you have the skills needed to succeed in a technical career, and the certification can help you advance your career. CompTIA DA0-001 exam dumps will help your to make you career.
If you are interested in careers as a systems administrator, network engineer or software developer, this exam can help you show potential employers you have the necessary technical knowledge and skills.
The CompTIA Data+ certification covers topics such as storage networks, desktop support services, operating systems and more. It also includes a section on cloud computing, which helps prepare candidates for future job roles that may require them to use cloud-based technologies.
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DA0-001 Exam Papers - 100% 100% Pass-Rate Questions Pool
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CompTIA Data+ Certification Exam Sample Questions (Q163-Q168):
NEW QUESTION # 163
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 bias
- B. Data accuracy
- C. Data constraints
- D. Data attribute limitations
- E. Data manipulation
- F. Data consistency
Answer: B,F
Explanation:
Explanation
Data accuracy refers to the extent to which the data is correct, reliable, and free of errors. When different people manually type a series of handwritten surveys into an online database, there is a high chance of human error, such as typos, misinterpretations, omissions, or duplications. These errors can affect the quality and validity of the data and lead to incorrect or misleading analysis and decisions.
Data consistency refers to the extent to which the data is uniform and compatible across different sources, formats, and systems. When different people manually type a series of handwritten surveys into an online database, there is a high chance of inconsistency, such as different spellings, abbreviations, formats, or standards. These inconsistencies can affect the integration and comparison of the data and lead to confusion or conflicts.
Therefore, to ensure data quality, it is important to have clear and consistent rules and procedures for data entry, validation, and verification. It is also advisable to use automated tools or methods to reduce human error and inconsistency.
NEW QUESTION # 164
What European law requires that organizations handling personal information designate a Data Protection Officer (DPO)?
- A. GLBA (Gramm-Leach-Bliley Act)
- B. HIPAA (Health Insurance Portability and Accountability Act)
- C. FERPA (Family Educational Rights and Privacy Act)
- D. GDPR (General Data Protection Regulation)
Answer: D
Explanation:
The General Data Protection Regulation 2016/679 is a regulation in EU law on data protection and privacy in the European Union and the European Economic Area.
NEW QUESTION # 165
Each month an analyst needs to execute a data pull for the two prior months. Which of the following is the most efficient function for the analyst to use?
- A. Logical
- B. Date
- C. Aggregate
- D. System
Answer: B
NEW QUESTION # 166
Which of the following is an example of a data-mining ETL tool?
- A. Stata
- B. SSIS
- C. Cognos
- D. SPSS
Answer: B
Explanation:
Explanation
A data-mining ETL tool is a software application that performs extract, transform, and load (ETL) operations on data for data mining purposes. Data mining is the process of discovering patterns, trends, and insights from large and complex data sets. ETL tools help to prepare the data for analysis by extracting data from various sources, transforming data into a consistent and suitable format, and loading data into a data warehouse or other destination. SSIS (SQL Server Integration Services) is an example of a data-mining ETL tool that is part of Microsoft SQL Server. SSIS provides graphical tools and wizards for building and debugging ETL packages that can work with various data sources and destinations. Therefore, the correct answer is A.
References: [Data Mining - SQL Server Integration Services (SSIS) | Microsoft Docs], [What Is Data Mining?
| Oracle]
NEW QUESTION # 167
A data analyst was asked to create a chart that shows the relationship between study hours and exam scores for each student using the data sets in the table below:
Which of the following charts would BEST represent the relationship between the variables?
- A. A bar chart
- B. A scatter plot
- C. A histogram
- D. A heat map
Answer: B
Explanation:
Explanation
This is because a scatter plot is a type of chart that shows the relationship between two variables for each observation or unit in a data set, such as study hours and exam scores for each student in this case. A scatter plot can be used to display and analyze the correlation, trend, or pattern among the variables, as well as identify any outliers or clusters in the data. For example, a scatter plot can show if there is a positive, negative, or no correlation between study hours and exam scores, as well as show if there are any students who have unusually high or low exam scores compared to their study hours. The other charts are not the best charts to represent the relationship between the variables. Here is why:
A histogram is a type of chart that shows the frequency or the count of values in a single variable for different intervals or bins, such as exam scores for different ranges in this case. A histogram can be used to display and analyze the distribution, shape, or spread of the variable, as well as identify any gaps, peaks, or skewness in the data. For example, a histogram can show if most students have high, low, or average exam scores, as well as show if there are any intervals that have no students at all.
A heat map is a type of chart that shows the intensity or the magnitude of values in two variables for different categories or groups, such as exam scores and study hours for different student names in this case. A heat map can be used to display and analyze the variation, contrast, or comparison among the categories or groups, as well as identify any hot spots, cold spots, or gradients in the data. For example, a heat map can show which students have higher or lower exam scores and study hours than others, as well as show if there is a color pattern that indicates a relationship between exam scores and study hours.
A bar chart is a type of chart that shows the value or the amount of a single variable for different categories or groups, such as exam scores for different student names in this case. A bar chart can be used to display and analyze the comparison, ranking, or proportion among the categories or groups, as well as identify any differences, similarities, or outliers in the data. For example, a bar chart can show which students have higher or lower exam scores than others, as well as show if there are any students who have exceptionally high or low exam scores.
NEW QUESTION # 168
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