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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Concepts and Environments | 15% | - Data structures and file formats - Data sources and acquisition methods - Data concepts and terminology |
| Topic 2: Data Mining | 25% | - Pattern identification and extraction - Data transformation and profiling - Data acquisition and cleaning techniques |
| Topic 3: Visualization | 23% | - Visualization best practices - Tool-based visualization techniques - Chart and dashboard creation |
| Topic 4: Data Governance, Quality, and Controls | 14% | - Data governance frameworks - Data quality management - Security, privacy, and compliance considerations |
| Topic 5: Data Analysis | 23% | - Trend and correlation analysis - Statistical methods and calculations - Data interpretation and reporting |
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202. Frage
Which of the following is a process that is used during data integration to collect, blend, and load data?
Antwort: C
Begründung:
ETL is a process that is used during data integration to collect, blend, and load data. ETL stands for extract, transform, and load, which are the three main steps involved in moving data from different sources to a common destination, such as a data warehouse or a data lake. ETL helps to consolidate and standardize data for analysis and reporting purposes. References: CompTIA Data+ Certification Exam Objectives, page 12
203. Frage
Which of the following can be used to translate data into another form so it can only be read by a user who has a key or a password?
Antwort: C
Begründung:
A) Data encryption.
Data encryption is a way of translating data from plaintext (unencrypted) to ciphertext (encrypted). Users can access encrypted data with an encryption key and decrypted data with a decryption key.
204. Frage
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?
Antwort: B
Begründung:
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.
205. Frage
A salesperson who is prospecting potential clients collected the following data:
Which of the following is an issue with this data?
Antwort: A
206. Frage
Which of the following roles is responsible for ensuring an organization's data quality, security, privacy, and regulatory compliance?
Antwort: C
Begründung:
Correct answer B. Data steward.
A data steward is responsible for leading an organization's data governance activities, which include data quality, security, privacy, and regulatory compliance.
207. Frage
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