2025 EXAM DA0-001 QUIZ | HIGH PASS-RATE DA0-001: COMPTIA DATA+ CERTIFICATION EXAM 100% PASS

2025 Exam DA0-001 Quiz | High Pass-Rate DA0-001: CompTIA Data+ Certification Exam 100% Pass

2025 Exam DA0-001 Quiz | High Pass-Rate DA0-001: CompTIA Data+ Certification Exam 100% Pass

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What are the special features of the CompTIA DA0-001 Exam

The CompTIA Data+ certification is an important one, because it's the first of its kind. It was developed to ensure that IT professionals had the necessary skills to work with data and perform advanced analysis.

The CompTIA Data+ certification is also unique in that it can be applied across several different industries. In fact, the curriculum for this exam focuses on three different areas: data analysis, communication and technology. This means that you'll need a strong understanding of all three areas to qualify for this exam. CompTIA DA0-001 exam dumps are the best way to make you perp fast.

The CompTIA Data+ certification is designed for those who have already gained experience working with data or those who want to learn more about it. The test consists of a series of questions designed to measure your knowledge about various aspects of data analysis.

CompTIA Data+ certification exam covers a wide range of topics related to data management, including data collection, processing, analysis, visualization, and interpretation. It also covers data governance, security, and privacy issues, as well as data storage technologies and tools. DA0-001 Exam is designed to test candidates' ability to work with different types of data, such as structured, unstructured, and semi-structured data, using a variety of tools and techniques.

CompTIA Data+ Certification Exam Sample Questions (Q345-Q350):

NEW QUESTION # 345
A database consists of one fact table that is composed of multiple dimensions. Each dimension is represented by a denormalized table. This structure is an example of a:

  • A. snowflake schema.
  • B. galaxy schema.
  • C. star schema.
  • D. non-relational schema.

Answer: C

Explanation:
Explanation
A star schema is a type of database schema that consists of one fact table and multiple dimension tables. The fact table contains the measures or metrics of the business process, such as sales, orders, or transactions. The dimension tables contain the attributes or characteristics of the business entities, such as products, customers, or locations. The fact table is connected to the dimension tables by foreign keys that reference the primary keys of the dimension tables. The fact table is located at the center of the schema, while the dimension tables are located at the edges, forming a star-like shape1.
A star schema is an example of a denormalized schema, which means that the dimension tables are not normalized and may contain redundant or repeated data. This is done to improve the performance and simplicity of queries, as there are fewer joins and tables involved. A star schema is suitable for data warehouses and business intelligence applications that require fast and efficient data retrieval2.


NEW QUESTION # 346
While reviewing survey data, a research analyst notices data is missing from all the responses to a single question. Which of the following methods would BEST address this issue?

  • A. Replace redundant data.
  • B. Remove invalid data.
  • C. Replace missing data.
  • D. Remove duplicate data.

Answer: C

Explanation:
This is because missing data is a type of data quality issue that occurs when data is absent or incomplete in a data set, which can affect the accuracy and reliability of the analysis or process. Missing data can be caused by various factors, such as human error, system error, or non-response. Missing data can be addressed by using various methods, such as replacing missing data, which means filling in or imputing the missing values with some reasonable estimates, such as mean, median, mode, or regression. The other methods are not used to address missing data. Here is why:
* Remove duplicate data is a type of method that eliminates or reduces duplicate data, which is a type of data quality issue that occurs when data is repeated or copied in a data set. Removing duplicate data does not address missing data, but rather affects the quantity and validity of the data.
* Replace redundant data is a type of method that eliminates or reduces redundant data, which is a type of data quality issue that occurs when data is unnecessary or irrelevant for the analysis or purpose.
Replacing redundant data does not address missing data, but rather affects the efficiency and performance of the analysis or process.
* Remove invalid data is a type of method that eliminates or reduces invalid data, which is a type of data quality issue that occurs when data is incorrect or inaccurate in a data set. Removing invalid data does not address missing data, but rather affects the validity and reliability of the analysis or process.


NEW QUESTION # 347
A development company is constructing a new unit in its apartment complex. The complex has the following floor plans:

Using the average cost per square foot of the original floor plans, which of the following should be the price of the Rose unit?

  • A. $702,500
  • B. $640,900
  • C. $690,000
  • D. $705,200

Answer: D


NEW QUESTION # 348
The director of operations at a power company needs data to help identify where company resources should be allocated in order to monitor activity for outages and restoration of power in the entire state. Specifically, the director wants to see the following:
* County outages
* Status
* Overall trend of outages
INSTRUCTIONS:
Please, select each visualization to fit the appropriate space on the dashboard and choose an appropriate color scheme. Once you have selected all visualizations, please, select the appropriate titles and labels, if applicable.
Titles and labels may be used more than once.
If at any time you would like to bring back the initial state of the simulation, please click the Reset All button.

Answer:

Explanation:
Power outages
Explanation:
This is a simulation question that requires you to create a dashboard with visualizations that meet the director' s needs. Here are the steps to complete the task:
* Drag and drop the visualization that shows the county outages on the top left space of the dashboard.
This visualization is a map of the state with different colors indicating the number of outages in each county. You can choose any color scheme that suits your preference, but make sure that the colors are consistent and clear. For example, you can use a gradient of red to show the counties with more outages and green to show the counties with less outages.
* Drag and drop the visualization that shows the status of the outages on the top right space of the dashboard. This visualization is a pie chart that shows the percentage of outages that are active, restored, or pending. You can choose any color scheme that suits your preference, but make sure that the colors are distinct and easy to identify. For example, you can use red for active, green for restored, and yellow for pending.
* Drag and drop the visualization that shows the overall trend of outages on the bottom space of the dashboard. This visualization is a line graph that shows the number of outages over time. You can choose any color scheme that suits your preference, but make sure that the color is visible and contrasted with the background. For example, you can use blue for the line and white for the background.
* Select appropriate titles and labels for each visualization. Titles and labels may be used more than once.
For example, you can use "County Outages" as the title for the map, "Status" as the title for the pie chart, and "Trend" as the title for the line graph. You can also use "County", "Number of Outages",
"Active", "Restored", "Pending", "Time", and "Number of Outages" as labels for the axes and legends of the visualizations.


NEW QUESTION # 349
Daniel is using the structured Query language to work with data stored in relational database.
He would like to add several new rows to a database table.
What command should he use?

  • A. INSERT.
  • B. ALTER.
  • C. UPDATE.
  • D. SELECT.

Answer: A

Explanation:
INSERT
The INSERT command is used to add new records to a database table.
The SELECT command is used to retrieve information from a database. It's the most commonly used command in SQL because it is used to pose queries to the database and retrieve the data that you're interested in working with.
The UPDATE command is used to modify rows in the database.
The CREATE command is used to create a new table within your database or a new database on your server.


NEW QUESTION # 350
......

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