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| Books / Training | CompTIA Data+ Certification Training |
| Schedule Exam | Pearson VUE |
| Exam Price | $239 (USD) |
| Passing Score | 675 / 900 |
| Number of Questions | 90 |
| Exam Code | DA0-001 |
| Exam Name | CompTIA Data+ |
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CompTIA DA0-001 exam is an excellent certification for individuals who are looking to establish a career in the field of data analytics. It covers a broad range of topics related to data analytics and is designed to test the candidate's understanding of these concepts. DA0-001 Exam is computer-based and can be taken at any authorized Pearson VUE testing center.
NEW QUESTION # 332
Which one of the following values will appear first if they are sorted in descending order?
Answer: A
NEW QUESTION # 333
Which of the following is the best reason for removing data outliers?
Answer: D
Explanation:
Comprehensive and Detailed In-Depth Explanation:
Data outliers are observations that deviate markedly from other observations in the dataset. Handling outliers appropriately is crucial in data analysis to ensure the accuracy and reliability of insights derived from the data.
Option A:Data varies significantly from others.
* Rationale:Outliers are data points that differ significantly from other observations. They can skew statistical analyses, leading to misleading results. Removing or addressing outliers can help in achieving a more accurate representation of the data, ensuring that analyses and models are not unduly influenced by anomalous values.
NEW QUESTION # 334
A data analyst is developing a dashboard to track and monitor metrics. Which of the following best practices should be taken into during the FIRST pment process?
Answer: A
Explanation:
A dashboard is a graphical display that summarizes and presents key performance indicators (KPIs) and metrics for a business or a project. A dashboard should be clear, concise, and easy to understand. To develop a dashboard, one of the best practices is to create a wireframe or a mockup first. A wireframe or a mockup is a low-fidelity sketch or prototype of the dashboard layout and design, which helps to define the scope, requirements, and functionality of the dashboard. Creating a wireframe or a mockup can help to save time and resources, as well as to get feedback from stakeholders and users before deploying the dashboard to production. Therefore, the correct answer is A. References: [Dashboard Design Best Practices: 4 Key Principles | Toptal], [How to Create an Effective Dashboard (with Examples) | Tableau]
NEW QUESTION # 335
Which of the following data sampling methods involves dividing a population into subgroups by similar characteristics?
Answer: B
Explanation:
Stratified sampling is a data sampling method that involves dividing a population into subgroups by similar characteristics, such as age, gender, income, etc. Then, a simple random sample is drawn from each subgroup.
This method ensures that each subgroup is adequately represented in the sample and reduces the sampling error. References: CompTIA Data+ Certification Exam Objectives, page 11.
NEW QUESTION # 336
A data analyst is creating a dashboard and trying to identify the type of information that should be included.
Which of the following should the analyst consider first?
Answer: B
Explanation:
Explanation
The answer is D. Data sources and attributes.
Short explanation: The data analyst should consider the data sources and attributes first when creating a dashboard, because they determine what kind of information can be included and how it can be displayed. The data sources and attributes define the origin, quality, format, and structure of the data that will be used for the dashboard. They also affect the data refresh rate, the consumer types, and the access permissions of the dashboard12 A: Data refresh rate is not the first thing to consider, because it depends on the data sources and attributes. The data refresh rate is how often the data in the dashboard is updated or refreshed to reflect the latest changes. The data refresh rate can vary depending on the type, frequency, and availability of the data sources1 B: Consumer types are not the first thing to consider, because they depend on the data sources and attributes.
The consumer types are the intended audiences or users of the dashboard, who may have different needs, preferences, and expectations for the dashboard. The consumer types can influence the design, layout, and functionality of the dashboard. However, the consumer types cannot be determined without knowing what kind of data is available and relevant for them1 C: Access permissions are not the first thing to consider, because they depend on the data sources and attributes. The access permissions are the rules or policies that govern who can view, edit, or share the dashboard. The access permissions can protect the confidentiality, integrity, and availability of the data in the dashboard. However, the access permissions cannot be set without knowing what kind of data is involved and who needs to access it1
NEW QUESTION # 337
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