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Title: DA0-001 Latest Cram Materials - DA0-001 Guide [Print This Page]
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Title: DA0-001 Latest Cram Materials - DA0-001 Guide
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CompTIA DA0-001 Certification is vendor-neutral, which means that it is not tied to any specific technology or platform. This makes it an ideal certification for professionals who work in a variety of industries, including healthcare, finance, and government. CompTIA Data+ Certification Exam certification is also suitable for professionals who work with big data and want to gain a deeper understanding of how to manage and analyze large datasets. CompTIA Data+ Certification Exam certification exam is designed to test an individual's proficiency in data management, data analysis, and data security, and passing the exam demonstrates a high level of competency in these areas.
CompTIA Data+ Certification Exam Sample Questions (Q45-Q50):NEW QUESTION # 45
An analyst is updating a customer contacts database with information obtained from a survey of new customers. Which of the following data manipulation techniques should the analyst use?
Answer: B
Explanation:
Comprehensive and Detailed In-Depth Explanation:
When incorporating new customer information from a survey into an existing customer contacts database, the appropriate data manipulation technique is:
Option B:Append
* Rationale:Appending involves adding new records to the end of an existing dataset without altering the existing data. In this scenario, the analyst adds the new customer information as additional records in the database.
Option A:Join
* Rationale:Joining combines data from two or more tables based on a related column, creating a new dataset with combined information. This is not necessary when simply adding new records.
Option C:Transform
* Rationale:Transformation involves changing the format, structure, or values of data. While important in data processing, it doesn't pertain to adding new records.
Option D:Blend
* Rationaleata blending combines data from different sources into a single dataset, often used in analysis rather than updating a database with new records.

NEW QUESTION # 46
Which of the following types of analysis would be best for an analyst to use to examine the relationships between authors who cited other authors in a library of research papers?
Answer: A
Explanation:
Comprehensive and Detailed In-Depth
Analyzing relationships between authors based on citation patterns involves understanding the connections and interactions within a network of entities.Link analysisis the appropriate technique for this purpose.
Option Ainguistic analysis
Rationaleinguistic analysis focuses on the structure and meaning of language within the text. While it can provide insights into the content of the papers, it doesn't address the relationships between authors.
Option B:Trend analysis
Rationale:Trend analysis examines data over time to identify patterns or trends. It doesn't specifically focus on the relationships or connections between entities, such as authors citing each other.
Option Cink analysis
Rationaleink analysis evaluates relationships and interactions between nodes in a network. In the context of research papers, it can be used to map and analyze how authors cite one another, revealing influential authors, collaboration networks, and the flow of ideas.
Reference:
partners.comptia.org
Option Derformance analysis
Rationaleerformance analysis assesses how well a process, system, or individual performs against defined metrics or goals. It doesn't pertain to examining relationships between authors based on citations.

NEW QUESTION # 47
A data analyst for a media company needs to determine the most popular movie genre. Given the table below:

Which of the following must be done to the Genre column before this task can be completed?
Answer: A

NEW QUESTION # 48
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?
Answer: B
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 # 49
Given the following:

Which of the following is the most important thing for an analyst to do when transforming the table for a trend analysis?
Answer: C
Explanation:
Correcting the dates so they have the same format is the most important thing for an analyst to do when transforming the table for a trend analysis. Trend analysis is a method of analyzing data over time to identify patterns, changes, or relationships. To perform a trend analysis, the data needs to have a consistent and comparable format, especially for the date or time variables.
In the example, the date purchased column has two different formats: YYYY-MM-DD and MM/DD/YYYY.
This could cause errors or confusion when sorting, filtering, or plotting the data over time. Therefore, the analyst should correct the dates so they have the same format, such as YYYY-MM-DD, which is a standard and unambiguous format.

NEW QUESTION # 50
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