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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Mining | 25% | - Data transformation and profiling - Pattern identification and extraction - Data acquisition and cleaning techniques |
| Topic 2: Data Governance, Quality, and Controls | 14% | - Data governance frameworks - Security, privacy, and compliance considerations - Data quality management |
| Topic 3: Data Analysis | 23% | - Statistical methods and calculations - Data interpretation and reporting - Trend and correlation analysis |
| Topic 4: Data Concepts and Environments | 15% | - Data concepts and terminology - Data structures and file formats - Data sources and acquisition methods |
| Topic 5: Visualization | 23% | - Visualization best practices - Tool-based visualization techniques - Chart and dashboard creation |
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NEW QUESTION # 43
An analyst is preparing a report that contains weather data. The temperatures are shown in Fahrenheit. but they must be reported in Celsius. Which of the following should the analyst do to fix this issue?
Answer: A
Explanation:
The analyst should rescale the data to fix this issue. Rescaling is a process of transforming data from one scale to another, such as changing the units of measurement. In this case, the analyst needs to rescale the temperatures from Fahrenheit to Celsius, which are two different scales for measuring temperature. To do this, the analyst can use the following formula:
Celsius = (Fahrenheit - 32) * 5/9
This formula converts each temperature value from Fahrenheit to Celsius by subtracting 32 and multiplying by 5/9. For example, if the temperature is 68°F, the rescaled value in Celsius is:
Celsius = (68 - 32) * 5/9 Celsius = 20°C
Rescaling the data can help the analyst to report the temperatures in a consistent and accurate way, and to avoid any confusion or errors that may arise from using different scales. Rescaling can also make the data more comparable and compatible with other data sources or standards that use the same scale12.
NEW QUESTION # 44
Which of the following is a best practice when updating a legacy data source?
Answer: C
Explanation:
When updating a legacy data source, it is a best practice to create a codebook to document field changes. A codebook serves as a detailed guide and record of the data structure, definitions, and any transformations or modifications made to the data fields. This documentation is crucial for maintaining data integrity, ensuring consistency, and facilitating future data use and understanding. It provides a reference that can be invaluable for data analysts, developers, and any stakeholders who need to work with the data.
Creating a codebook is preferred over placing old data in new fields, which can lead to confusion and data integrity issues. Keeping only the most recent data may result in the loss of valuable historical information. Removing the data source from production is not a practice related to updating data but rather to retiring a data source1234.
Reference:
Legacy Data Migration: A Comprehensive Guide | OpenGeeksLab
How to Successfully Complete Legacy Database Migration
Methods for Saving and Integrating Legacy Data - DATAVERSITY
Legacy Data Digitization - Learn The Best Practices
NEW QUESTION # 45
A database administrator needs to ensure only approved users can access specific database tables to perform financial functions. Which of the following is the best access control method for the administrator to use?
Answer: C
Explanation:
Comprehensive and Detailed In-Depth
Access control is a critical aspect of database security. The best method for controllingwho can access financial databased onjob rolesisRole-Based Access Control (RBAC).
Option A (Role-based):Correct.RBAC assigns permissions based on a user's role within the organization (e.g., accountants can access financial data, but sales representatives cannot).
Option B (Rule-based):Incorrect. Rule-Based Access Control (RuBAC) enforces policies based on rules, such as time restrictions, rather than user roles.
Option C (Discretionary):Incorrect. Discretionary Access Control (DAC) allows individual users to grant permissions, which can lead to security risks in financial systems.
Option D (Group-based):Incorrect. Group-Based Access Control (GBAC) assigns permissions based on user groups, but RBAC provides finer control for financial functions.
NEW QUESTION # 46
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: A
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 # 47
Which of the following data cleansing issues will be fixed when a DISTINCT function is applied?
Answer: D
Explanation:
This is because duplicate data refers to data that is repeated or copied in a data set, which can affect the quality and validity of the analysis. A DISTINCT function is a type of function that removes duplicate values from a column or a table, leaving only unique values. For example, a DISTINCT function in SQL that can achieve this is:
The other data cleansing issues will not be fixed by applying a DISTINCT function. Here is why:
Missing data refers to data that is absent or incomplete in a data set, which can affect the accuracy and reliability of the analysis. A DISTINCT function does not help with missing data, because it does not fill in or impute the missing values.
Redundant data refers to data that is unnecessary or irrelevant for the analysis, which can affect the efficiency and performance of the analysis. A DISTINCT function does not help with redundant data, because it does not remove or filter out the redundant values.
Invalid data refers to data that is incorrect or inaccurate in a data set, which can affect the validity and reliability of the analysis. A DISTINCT function does not help with invalid data, because it does not validate or correct the invalid values.
NEW QUESTION # 48
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