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CompTIA Data+ Certification Exam Sample Questions (Q205-Q210):
NEW QUESTION # 205
An analyst is designing a dashboard to determine which site has the highest percentage of new customers. The analyst must choose an appropriate chart to include in the dashboard. The following data is available:
Which of the following types of charts should be considered to BEST display the data?
Answer: D
NEW QUESTION # 206
The current date is July 14, 2020. A data analyst has been asked to create a report that shows the company's year-over-year Q2 2020 sales. Which of the following reports should the analyst compare?
Answer: A
Explanation:
Year-over-year (YoY) comparison is a method of evaluating two or more measured events to compare the results at one period with those from a comparable period on an annual basis. For a year-over-year comparison of Q2 2020 sales, the analyst should compare the sales figures from Q2 2020 with those from Q2
2019. This comparison will show the growth, stagnation, or decline in sales over the year and is a common practice in financial analysis to assess performance.
References:
* SlideTeam's article on sales comparison templates1.
* Salesforce help article on calculating YoY or Quarter-over-Quarter (QoQ) in reports2.
* Smartsheet's content on annual sales report templates3.
* TechRepublic article on creating a YoY comparison chart using a PivotChart in Excel4.
NEW QUESTION # 207
A sales director has requested a report for individual team members within the division be developed. The director would like the report to be shared with all team members, but individual team members should not be identifiable within the report Which of the following access requirements would support the director's needs?
Answer: A
NEW QUESTION # 208
After the daily ETL jobs are completed, the data in the reports does not appear complete, and a lot of data seems to be missing. Which of the following concepts should be used to assess and investigate further?
Answer: D
Explanation:
Comprehensive and Detailed In-Depth Explanation:
When encountering issues where reports are incomplete or data appears to be missing after ETL (Extract, Transform, Load) processes, it's essential to assess the quality and structure of the data.Data profilingis the process of examining the data available in an existing data source and collecting statistics and information about that data. This practice helps in understanding the data's condition, identifying anomalies, and ensuring that the data conforms to the expected patterns.
Option A:Cross-validation
* Rationale:Cross-validation is a statistical method used to estimate the skill of machine learning models.
It is primarily used in predictive modeling to assess how the results of a statistical analysis will generalize to an independent dataset. While valuable in model evaluation, it doesn't address issues related to missing or incomplete data in ETL processes.
Option B:Data profiling
* Rationale:Data profiling involves analyzing the data for accuracy and completeness. By performing data profiling, analysts can identify missing values, inconsistencies, and anomalies within the dataset.
This process is crucial for diagnosing issues that arise during ETL operations, such as incomplete data loads or transformation errors.
NEW QUESTION # 209
Which of the following data manipulation techniques is an example of a logical function?
Answer: A
Explanation:
Explanation
This is because an IF function is a type of logical function that returns a value based on a condition or a set of conditions. An IF function can be used to manipulate data by applying different actions or calculations depending on whether the condition is true or false. For example, an IF function in Excel that can achieve this is:
=IF (condition, value_if_true, value_if_false)
The other data manipulation techniques are not examples of logical functions. Here is why:
WHERE is a type of clause that filters data based on a condition or a set of conditions. A WHERE clause can be used to manipulate data by selecting only the rows that satisfy the condition(s). For example, a WHERE clause in SQL that can achieve this is:
AGGREGATE is a type of function that performs a calculation on a group of values, such as sum, average, count, etc. An AGGREGATE function can be used to manipulate data by summarizing or aggregating the values in a column or a table. For example, an AGGREGATE function in SQL that can achieve this is:
BOOLEAN is a type of data type that represents two possible values: true or false. A BOOLEAN data type can be used to manipulate data by storing or returning logical values based on a condition or a set of conditions. For example, a BOOLEAN data type in Python that can achieve this is:
NEW QUESTION # 210
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