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CompTIA DA0-001 certification exam covers a broad range of topics related to data analysis. Some of the topics covered include data visualization, data modeling, data mining, data warehousing, and statistical analysis. DA0-001 Exam also covers topics related to data security and privacy, which are critical areas in the field of data analysis.

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CompTIA DA0-001 (CompTIA Data+ Certification) Certification Exam is a globally recognized certification that validates one’s understanding and skills in data management. DA0-001 exam is designed for professionals who work with data in their daily operations, including data analysts, database administrators, and anyone involved in managing or analyzing data.

CompTIA Data+ Certification Exam Sample Questions (Q301-Q306):

NEW QUESTION # 301
Given the following data:
CustomerID
ItemBought
Date
Tre_234
Sofa
2022-09-08
216_Tre
Shoes
08/02/2021
215/Tre
Blanket
2021/06/20
045/Tre
Mug
12-26-2021
Tre-345
Lamp
31/08/2022
TREJD19
Bucket
2022'08/01
Which of the following best describes the main issue in the data set?

• A. Invalid data
• B. Redundant data
• C. Data mismatch
• D. Inconsistent data

Answer: D

Explanation:
Comprehensive and Detailed In-Depth
The dataset exhibits inconsistencies in both the CustomerID and Date columns:
CustomerID Column: The identifiers use various formats, including underscores (Tre_234), slashes (215/Tre), hyphens (Tre-345), and combinations of letters and numbers (TREJD19). This inconsistency can lead to difficulties in data retrieval and analysis.
Date Column: Dates are presented in multiple formats, such as YYYY-MM-DD (2022-09-08), MM/DD/YYYY (08/02/2021), YYYY/MM/DD (2021/06/20), MM-DD-YYYY (12-26-2021), DD/MM/YYYY (31/08/2022), and an unconventional format (2022'08/01). Such variability can cause errors in date computations and analyses.
Addressing these inconsistencies is essential to ensure data quality and reliability.

 

NEW QUESTION # 302
A recurring event is being stored in two databases that are housed in different geographical locations. A data analyst notices the event is being logged three hours earlier in one database than in the other database. Which of the following is the MOST likely cause of the issue?

• A. The databases are recording different events.
• B. The second database is logging incorrectly.
• C. The data analyst is not querying the databases correctly.
• D. The databases are recording the event in different time zones.

Answer: D

Explanation:
Explanation
The most likely cause of the issue is that the databases are recording the event in different time zones. A time zone is a region that observes a uniform standard time for legal, commercial, and social purposes. Different time zones have different offsets from Coordinated Universal Time (UTC), which is the primary time standard by which the world regulates clocks and time. For example, UTC-5 is five hours behind UTC, while UTC+3 is three hours ahead of UTC. If an event is being stored in two databases that are housed in different geographical locations with different time zones, it may appear that the event is being logged at different times, depending on how the databases handle the time zone conversion. For example, if one database records the event in UTC-5 and another database records the event in UTC+3, then an event that occurs at 12:00 PM in UTC-5 will appear as 9:00 AM in UTC+3. The other options are not likely causes of the issue, as they are either unrelated or implausible. The data analyst is not querying the databases incorrectly, as this would not affect the time stamps of the events. The databases are not recording different events, as they are supposed to record the same recurring event. The second database is not logging incorrectly, as there is no evidence or reason to assume that. Reference: [Time zone - Wikipedia]

 

NEW QUESTION # 303
An analyst needs to join two tables of data together for analysis. All the names and cities in the first table should be joined with the corresponding ages in the second table, if applicable.

Which of the following is the correct join the analyst should complete. and how many total rows will be in one table?

• A. OUTER JOIN, seven rows
• B. INNER JOIN, two rows
• C. RIGHT JOIN. five rows
• D. LEFT JOIN. four rows

Answer: D

Explanation:
The correct join the analyst should complete is B. LEFT JOIN, four rows.
A LEFT JOIN is a type of SQL join that returns all the rows from the left table, and the matched rows from the right table. If there is no match, the right table will have null values. A LEFT JOIN is useful when we want to preserve the data from the left table, even if there is no corresponding data in the right table1 Using the example tables, a LEFT JOIN query would look like this:
SELECT t1.Name, t1.City, t2.Age FROM Table1 t1 LEFT JOIN Table2 t2 ON t1.Name = t2.Name; The result of this query would be:
Name City Age Jane Smith Detroit NULL John Smith Dallas 34 Candace Johnson Atlanta 45 Kyle Jacobs Chicago 39 As you can see, the query returns four rows, one for each name in Table1. The name John Smith appears twice in Table2, but only one of them is matched with the name in Table1. The name Jane Smith does not appear in Table2, so the age column has a null value for that row.

 

NEW QUESTION # 304
Which of the following technologies would be best suited for creating a multiple linear regression model?

• A. R
• B. SQL
• C. Tableau
• D. Microsoft Power Bl

Answer: A

 

NEW QUESTION # 305
Given the customer table below:

Which of the following chart types is the most appropriate to represent the average spending of active customers vs. inactive customers?

• A. Scatter plot
• B. Pie chart
• C. Line chart
• D. Heat graph

Answer: B

 

NEW QUESTION # 306
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