Pass the CompTIA CompTIA Data+ DA0-001 Questions and answers with CertsForce

Data encryption and data masking are two actions that can be taken when transmitting data to mitigate the chance of a data leak occurring. Data encryption means transforming data into an unreadable format that can only be decrypted with a key. Data masking means hiding or replacing sensitive data with fictitious or anonymized data. Both methods protect the confidentiality and integrity of the data in transit. References: CompTIA Data+ Certification Exam Objectives, page 13

Analyzing the provided data sample reveals a potential data quality issue that needs to be addressed to maintain the dataset's integrity.

Option A:Data outlier

Rationale:A data outlier refers to a data point that significantly deviates from the other observations in the dataset. In this sample, all order quantities range between 5 and 11, showing

Themedianis the middle value in a sorted list of numbers. The steps to determine the median are:

Sort the numbers in ascending order:3, 5, 6, 7, 9

Find the middle value:Since there arefivenumbers, the middle value is the third one:Median = 6

Option A (5):Incorrect. 5 is not the middle value.

Option B (6):Correct.6 is the middle value in the sorted list.

Option C (7):Incorrect. 7 is not the middle value.

Option D (9):Incorrect. 9 is the highest value, not the median.

After writing the report, the most appropriate next step for the analyst is to complete a check for quality in the report. This involves reviewing the report for accuracy, clarity, completeness, consistency, and relevance. The analyst should ensure that the report addresses the director’s business questions and objectives, that the data and analysis are correct and reliable, that the tables and graphs are well-designed and easy to understand, that the descriptions and summary are concise and informative, and that there are no errors or inconsistencies in the report. A quality check will help the analyst to improve the presentation and communication of the report, as well as to avoid any misunderstandings or misinterpretations by the director1.

Customer name is the field that should be masked, because it contains sensitiveinformation that could identify the government accounts that the financial institution deals with. Masking is a technique that replaces or obscures sensitive data with dummy or random data, such as asterisks or hashes. Masking can help protect the privacy and security of the data, while still allowing for some analysis and reporting. Therefore, the correct answer is D. References: [Data Masking | Definition, Techniques & Examples - Talend], [Data masking - Wikipedia]

The statement is false. You should not always choose the analytics tool that is most appropriate for any given situation, even if that means acquiring a new tool. Acquiring a new tool can be costly, time-consuming, and risky, as it may not be compatible with your existing data sources, systems, or processes. It may also require additional training, maintenance, and support. Therefore, you should always consider the trade-offs between the benefits and drawbacks of acquiring a new tool versus using an existing one. You should also evaluate the feasibility, availability, and reliability of the new tool beforemaking a decision. Reference: CompTIA Data+ (DA0-001) Practice Certification Exams | Udemy

When designing a form to record email addresses, selecting the appropriate data type is crucial to ensure data integrity and flexibility.

Alphanumeric:This data type allows for both letters and numbers. While email addresses do contain alphanumeric characters, they also include special symbols such as '@' and '.', which an alphanumeric data type might not support, leading to potential data entry issues.

Text:This data type is designed to handle a sequence of characters, including letters, numbers, and special symbols. It provides the most flexibility for email addresses, accommodating the full range of characters required.

Discrete:This refers to distinct, separate values, often numerical, and is not suitable for the variable nature of email addresses.

Continuous:This pertains to data that can take any value within a range, typically used for measurements, and is not applicable to email addresses.

Therefore, the 'Text' data type is the most appropriate choice for recording email addresses, as it accommodates all necessary characters without restrictions.

For a high-level, year-end report requested by a Chief Executive Officer (CEO), a recurring report type is most appropriate. Recurring reports are regular, scheduled reports that typically summarize information over a set period, such as a fiscal year. They provide a consistent format for executives to track performance over time, and their standardized nature makes them suitable for high-level analysis and decision-making. Since CEOs need to monitor performance and make strategic decisions, a recurring report that provides a comprehensive overview of the year's activities and outcomes would be valuable. This allows the CEO to evaluate the company's performance against its goals and objectives systematically.

Dynamic reports (A) are more interactive and typically used for in-depth analysis where users can drill down into the data. Ad hoc reports (C) are one-time, usually unscheduled reports tailored for specific questions, which may not be as comprehensive as a year-end report requires. Self-service reports (D) allow users to create their reports on demand, which may not be the formal, synthesized view a CEO would need for a year-end report.

To ensure that a report is point-in-time and static, it should include the date when the report was last accessed and the date on which the report was run. These components confirm the specific time frame the data represents, making the report a fixed reference that does not change with subsequent data updates or accesses. This is crucial for accurate historical analysis and for maintaining the integrity of the data as it was at the time of the report’s creation.

Explanation

Duplicate Data.

While invalid, redundant, or missing data are all valid concerns, data about people exists in two of the six systems. As such, Jhon needs to account for duplicate data issues.