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CompTIA Data+ Certification Exam 認定 DA0-001 試験問題 (Q134-Q139):

質問 # 134
Which of the following analysis techniques is an unsupervised data mining process?

A. Descriptive
B. Clustering
C. Regression
D. Predictive

正解：B

解説：
Comprehensive and Detailed In-Depth
Unsupervised data mining techniques are used to identify hidden patterns or intrinsic structures in data without prior labels or classifications. Among the options provided,clusteringis a primary unsupervised learning method.
Option A:Clustering
Rationale:Clustering involves grouping a set of objects in such a way that objects in the same group (or cluster) are more similar to each other than to those in other groups. This technique is unsupervised because it doesn't rely on predefined labels and is used to discover natural groupings within data.
Reference:
partners.comptia.org
Option B:Descriptive
Rationale:Descriptive analysis summarizes or describes the main features of a dataset, often through statistical measures or visualizations. While it provides insights into the data, it is not a data mining process but rather a preliminary step in data analysis.
Option C:Regression
Rationale:Regression analysis is a supervised learning technique used to model and analyze the relationships between variables. It requires labeled data to predict outcomes and is not considered an unsupervised process.
Option D:Predictive
Rationale:Predictive analysis involves using historical data to make predictions aboutfuture events. It often employs supervised learning techniques and relies on labeled datasets to train models.

質問 # 135
A data analyst is designing a dashboard that will provide a story of sales and determine which site is providing the highest sales volume per customer. 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?

A. Include a scatter chart using sales volume and average sales per customer.
B. Include a column chart using the site and sales to average sales per customer.
C. Include a line chart using the site and average sales per customer.
D. Include a pie chart using the site and sales to average sales per customer.

正解：A

解説：
A scatter chart using sales volume and average sales per customer is the best type of chart to include in the dashboard. A scatter chart is a type of chart that displays the relationship between two numerical variables using dots or markers. A scatter chart can show how one variable affects another, how strong the correlation is between them, and how the data points are distributed. In this case, a scatter chart can show the story of sales and determine which site is providing the highest sales volume per customer by plotting the sales volume on the x-axis and the average sales per customer on the y-axis. Each dot on the chart will represent a site, and the analyst can easily compare the sites based on their position on the chart. A site with a high sales volume and a high average sales per customer will be in the upper right quadrant, indicating a high performance. A site with a low sales volume and a low average sales per customer will be in the lower left quadrant, indicating a low performance. A site with a high sales volume and a low average sales per customer will be in the lower right quadrant, indicating a high volume but low value. A site with a low sales volume and a high average sales per customer will be in the upper left quadrant, indicating a low volume but high value. A scatter chart can also show if there is a positive or negative correlation between the two variables, or if there is no correlation at all.
A positive correlation means that as one variable increases, so does the other. A negative correlation means that as one variable increases, the other decreases. No correlation means that there is no relationship between the two variables.
The other types of charts are not as suitable for this purpose. A line chart is a type of chart that displays the change of one or more variables over time using lines. A line chart can show trends, patterns, and fluctuations in the data. However, in this case, there is no time variable involved, so a line chart would not be appropriate.
A pie chart is a type of chart that displays the proportion of each category in a whole using slices of a circle.
A pie chart can show how each category contributes to the total and compare the relative sizes of each category. However, in this case, there are two numerical variables involved, so a pie chart would not be able to show their relationship. A column chart is a type of chart that displays the comparison of one or more variables across categories using vertical bars. A column chart can show how each category differs from each other and rank them by size. However, in this case, a column chart would not be able to show the relationship between sales volume and average sales per customer, as it would only show one variable for each site.

質問 # 136
A research analyst collects ten data points from 1.000 specimens. The analyst will not need any additional data to complete the analysis and will not need to retrieve information by specifier. Which of the following is the best data structure for the analyst to use?

A. Relational database
B. Flat file
C. JSON
D. NoSQL

正解：B

解説：
Explanation
A flat file is a type of data structure that stores data in a plain text format, such as CSV, TSV, or TXT. A flat file consists of one or more records, each containing one or more fields, separated by a delimiter, such as a comma, tab, or space. A flat file does not have any hierarchical or relational structure, and does not support any complex queries or operations1.
A flat file may be the best data structure for the analyst to use in this scenario, because:
The analyst collects ten data points from 1,000 specimens, which means the data is relatively small and simple, and can be easily stored and processed in a flat file.
The analyst will not need any additional data to complete the analysis, which means the data is static and does not require any updates or modifications.
The analyst will not need to retrieve information by specifier, which means the data does not require any indexing or searching by key or value.

質問 # 137
Given the diagram below:

Which of the following steps is missing?

A. Connect to the data API.
B. Remove redundant data.
C. Normalize the data.
D. Validate the data types.

正解：D

質問 # 138
A development company is constructing a new Init in its apartment complex. The complex has the following floor plans:

Using the average cost per square foot of the original floor plans. which of the following should be the price of the Rose Init?

A. $705,200
B. $702,500
C. $640,900
D. $690,000

正解：B

解説：
The correct answer is D. $702,500.
To find the price of the Rose unit, we need to use the average cost per square foot of the original floor plans.
The average cost per square foot is calculated by dividing the price by the square footage of each unit type.
Using the data from the table, we can do the following:
* Jasmine: $345,000 / 1,000 = $345 per square foot
* Orchid: $525,000 / 2,000 = $262.5 per square foot
* Azalea: $375,000 / 1,500 = $250 per square foot
* Tulip: $450,000 / 1,800 = $250 per square foot
The average cost per square foot of the original floor plans is the mean of these four values, which is ($345 +
$262.5 + $250 + $250) / 4 = $276.875 per square foot.
To find the price of the Rose unit, we need to multiply the average cost per square foot by the square footage of the Rose unit. The Rose unit has a square footage of 2,535, according to the table. Therefore, the price of the Rose unit is $276.875 x 2,535 = $702,421.875.
Rounding to the nearest whole number, we get $702,500 as the price of the Rose unit.

質問 # 139
......

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上記のすべてのDA0-001学習資料は、不定期の割引を提供します、DA0-001認定が多くの人々にとってますます重要になっていることは間違いありません、Topexam良い仕事を見つけたいなら、あなたは良い能力と熟練した主要な知識を所有していなければなりません。

DA0-001の各主題研究の分析を通じて急流、探索する価値のある隠れたルールがたくさんあることがわかりました。

P.S. TopexamがGoogle Driveで共有している無料かつ新しいDA0-001ダンプ：https://drive.google.com/open?id=1PSnkyIhk-AgXZRNr9_r8VWvvCy-EpudH

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