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[General] Pass Guaranteed 2026 DA0-001: Marvelous Study CompTIA Data+ Certification Exam G

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【General】 Pass Guaranteed 2026 DA0-001: Marvelous Study CompTIA Data+ Certification Exam G

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CompTIA Data+ certification exam is a vendor-neutral certification test that assesses one's knowledge related to Data collection, processing, and analysis across several domains. The CompTIA DA0-001 exam is open to anyone interested in data collection, analysis, storage, and transfer. DA0-001 Exam consists of around 90 multiple-choice questions that cover essential data-related topics such as Data Structures, Data Management, Data Visualization, Data Security, and much more.
DA0-001 Reliable Test Sample & New DA0-001 Exam PdfIn order to provide the most effective DA0-001 exam materials which cover all of the current events for our customers, a group of experts in our company always keep an close eye on the changes of the DA0-001 exam even the smallest one, and then will compile all of the new key points as well as the latest types of exam questions into the new version of our DA0-001 Practice Test, and you can get the latest version of our study materials for free during the whole year. Do not lose the wonderful chance to advance with times.
Preparing for the CompTIA DA0-001 Exam requires a combination of study and practice. Candidates can use a variety of resources, including books, online courses, and practice exams, to prepare for the exam. It is also recommended that candidates gain hands-on experience working with data in a real-world environment to reinforce their understanding of the concepts covered in the exam.
CompTIA Data+ Certification Exam Sample Questions (Q392-Q397):NEW QUESTION # 392
A data set has the following values:

Which of the following is the best reason for cleansing the data?
  • A. Invalid data
  • B. Redundant data
  • C. Data outliers
  • D. Missing data
Answer: D
Explanation:
Comprehensive and Detailed In-Depth Explanation:
In this dataset, we can see an issue withincomplete or missing data:
* Cameron Smith's "Date of Birth" field is Null, which indicatesmissing datathat needs to be filled in.
* The format inconsistency in "Date of Birth" (e.g., "13-Jun" vs. "Dec 14") can also be problematic, requiring standardization.
* Option A (Invalid data):Incorrect. The data is not necessarily invalid, but it is incomplete.
* Option B (Redundant data):Incorrect. Redundant data means unnecessary duplication, which is not the case here.
* Option C (Data outliers):Incorrect. Outliers refer to values that are extremely different from the rest of the dataset, which does not apply here.
* Option D (Missing data):Correct.The "Date of Birth" field has missing values (e.g., "Null"), requiring data cleansing.

NEW QUESTION # 393
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?
  • A. Role-based
  • B. Rule-based
  • C. Discretionary
  • D. Group-based
Answer: A

NEW QUESTION # 394
A data analyst has a set with more than 40.000 rows in the sample schema below:

The analyst would like to create one column that contains the customers' birth dates. Which of the following data quality dimensions would BEST explain the reason for compilation?
  • A. Data completeness
  • B. Data integrity
  • C. Data duplication
  • D. Data accuracy
Answer: B
Explanation:
Data integrity is the dimension that measures the consistency and validity of data across different data sources. In this case, the data analyst wants to create one column that contains the customers' birth dates, but the data is stored in different formats and locations in the sample schema. For example, some customers have their birth dates in the customer table, while others have their birth years in the sales table. To compile the data into one column, the data analyst needs to ensure that the data is consistent and valid across the tables.
Therefore, data integrity is the best explanation for the reason for compilation. References: Data Quality Dimensions - DATAVERSITY, The 6 Data Quality Dimensions with Examples | Collibra

NEW QUESTION # 395
Given the below:

Which of the following numbers represents a Type I error?
  • A. 0
  • B. 1
  • C. 2
  • D. 3
Answer: C

NEW QUESTION # 396
A data analyst is creating a report that will provide information about various regions, products, and time periods. Which of the following formats would be the MOST efficient way to deliver this report?
  • A. A daily email with snapshots of regional summaries
  • B. A workbook with multiple tabs for each region
  • C. A dashboard with filters at the top that the user can toggle
  • D. A static report with a different page for every filtered view
Answer: C
Explanation:
A dashboard with filters at the top that the user can toggle would be the most efficient way to deliver this report, because it allows the user to customize the view and explore different combinations of regions, products, and time periods. A workbook with multiple tabs for each region would be cumbersome and repetitive. A daily email with snapshots of regional summaries would not provide enough detail or interactivity. A static report with a different page for every filtered view would be too long and hard to navigate. References: CompTIA Data+ Certification Exam Objectives, page 14

NEW QUESTION # 397
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