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| Section | Weight | Objectives |
|---|---|---|
| Data Concepts and Environments | 15% | - Data sources and acquisition methods - Data concepts and terminology - Data structures and file formats |
| Data Governance, Quality, and Controls | 14% | - Data governance frameworks - Data quality management - Security, privacy, and compliance considerations |
| Data Analysis | 23% | - Statistical methods and calculations - Data interpretation and reporting - Trend and correlation analysis |
| Data Mining | 25% | - Pattern identification and extraction - Data acquisition and cleaning techniques - Data transformation and profiling |
| Visualization | 23% | - Visualization best practices - Tool-based visualization techniques - Chart and dashboard creation |
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NEW QUESTION # 160
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?
Answer: C
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 # 161
Which of the following describes the use of a representative amount of data from a main repository?
Answer: B
NEW QUESTION # 162
Given the following table:
Which of the following describes the data quality issues with theagedata?
Answer: B
Explanation:
Comprehensive and Detailed In-Depth Explanation:
Data consistency refers to ensuring that all values in a dataset follow a uniform format and structure. In this dataset:
* One age value is recorded as "65F," which includes anextra character (F)that makes it inconsistent with other numeric age values.
* The date formats are inconsistent (6/1/22 vs. 6/19/2022), but this is unrelated to the age issue.
* Option A (Completeness):Incorrect. There are no missing values in the age column.
* Option B (Consistency):Correct.The age data should be consistently formatted asnumeric values only, without extra characters like "F."
* Option C (Accuracy):Incorrect. There is no evidence that theactual age valuesare incorrect, only that they are formatted inconsistently.
* Option D (Manipulation):Incorrect. There is no indication that the data was intentionally altered for deception.
NEW QUESTION # 163
An analyst computed a new variable of income per day in the household by multiplying the number of days worked by the number of people working in the household and the income earned per day. Which of the following is the correct name for this new variable?
Answer: C
Explanation:
A derived variable is created through mathematical computations or transformations from existing data. In this case, "income per day" is derived by combining multiple existing variables.
Reference: CompTIA Data+ DA0-001 Official Guide
NEW QUESTION # 164
What type of policy defines an individual's responsibilities when accessing, using, sharing, and removing organizational data?
Answer: B
NEW QUESTION # 165
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