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[General] DA0-001絶対合格 & DA0-001復習資料

johnree371

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【General】 DA0-001絶対合格 & DA0-001復習資料

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BONUS！！！ Topexam DA0-001ダンプの一部を無料でダウンロード：https://drive.google.com/open?id=1_T4MeW04fhvwc811nINV1VbzA67gkEZ_
当社のDA0-001学習ツールは、すべての受験者に高い合格率のDA0-001学習教材を提供するだけでなく、優れたサービスを提供します。当社または当社の製品について質問または疑問がある場合は、当社に連絡して解決してください。 DA0-001学習ガイドサービスの思慮深さは圧倒的です。私たちが行うことは、DA0-001実践教材の成功に貢献します。したがって、DA0-001実践教材は、ユーザーが今後の求人検索でより多くの利点を得ることができるため、ユーザーは激しい競争で際立って最高の成績を収めることができます。
Comptia Data+認定試験としても知られるComptia DA0-001は、データ管理と分析の専門知識を求める個人向けに設計された広く認識されている認定試験です。この認定は、データ管理の分野における個人の知識とスキルの証拠として機能し、データを効果的に操作する能力を検証します。 DA0-001試験では、データ分析、管理、ストレージ、セキュリティなど、さまざまなトピックをカバーしています。
認定試験はコンピュータベースで、90分間で回答する90個の多肢選択問題で構成されています。試験はCompTIAの認定テストセンターであるPearson VUEによって実施されます。認定を取得するためには、最低でも900点中650点以上を獲得する必要があります。
CompTIA DA0-001絶対合格: CompTIA Data+ Certification Exam - Topexam 最高の商品をお届けします我々の提供するCompTIAのDA0-001試験の資料のどのバーションでも各自のメリットを持っています。PDF版はパソコンでもスマホでも利用でき、どこでも読めます。ネットがあれば、オンライン版はどの電子商品でも使用できます。ソフト版は真実のCompTIAのDA0-001試験の環境を模倣して、あなたにCompTIAのDA0-001試験の本当の感覚を感じさせることができ、いくつかのパソコンでも利用できます。
CompTIA Data+ Certification Exam 認定 DA0-001 試験問題 (Q339-Q344):質問 # 339
An analyst modified a data set that had a number of issues. Given the original and modified versions:

Which of the following data manipulation techniques did the analyst use?
  • A. Deriving
  • B. Parsing
  • C. Imputation
  • D. Recoding
正解：D
解説：
The correct answer is B. Recoding.
Recoding is a data manipulation technique that involves changing the values or categories of a variable to make it more suitable for analysis.Recoding can be used to simplify or group the data, to correct errors or inconsistencies, or to create new variables from existing ones12 In the example, the analyst used recoding to change the values of Var001, Var002, Var003, and Var004 from numerical to textual form. The analyst also used recoding to assign meaningful labels to the values, such as
"Absent" for 0, "Present" for 1, "Low" for 2, "Medium" for 3, and "High" for 4. This makes the data more understandable and easier to analyze.

質問 # 340
Given the below:

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

質問 # 341
An analyst must obtain the average daily sales for the following week:

Which of the following must the analyst perform to obtain this value?
  • A. Data blending
  • B. Data normalization
  • C. Data aggregation
  • D. Data append
正解：C
解説：
Data aggregation is the process of compiling data from multiple sources and summarizing it into a single dataset. Data aggregation can be used to calculate statistics, such as averages, sums, counts, or percentages. In this case, the analyst must obtain the average daily sales for the following week, which is a statistic that can be calculated by aggregating the sales data from each day and dividing by the number of days. Data aggregation can be done using various tools and methods, such as spreadsheets, databases, or programming languages.

質問 # 342
Given the following table:

Which of the following describes the data quality issues with theagedata?
  • A. Consistency
  • B. Accuracy
  • C. Manipulation
  • D. Completeness
正解：A
解説：
Comprehensive and Detailed In-Depth
Data consistency refers to ensuring that all values in a dataset follow a uniform format and structure. In this dataset:
One age value is recorded as "65F," which includes anextra character (F)that makes it inconsistent with other numeric age values.
The date formats are inconsistent (6/1/22 vs. 6/19/2022), but this is unrelated to the age issue.
Option A (Completeness):Incorrect. There are no missing values in the age column.
Option B (Consistency):Correct.The age data should be consistently formatted asnumeric values only, without extra characters like "F." Option C (Accuracy):Incorrect. There is no evidence that theactual age valuesare incorrect, only that they are formatted inconsistently.
Option D (Manipulation):Incorrect. There is no indication that the data was intentionally altered for deception.

質問 # 343
An analyst is preparing a report that contains weather dat
a. The temperatures are shown in Fahrenheit. but they must be reported in Celsius. Which of the following should the analyst do to fix this issue?
  • A. Rescale the data.
  • B. Normalize the data.
  • C. Aggregate the data.
  • D. Standardize the data.
正解：A
解説：
The analyst should rescale the data to fix this issue. Rescaling is a process of transforming data from one scale to another, such as changing the units of measurement. In this case, the analyst needs to rescale the temperatures from Fahrenheit to Celsius, which are two different scales for measuring temperature. To do this, the analyst can use the following formula:
Celsius = (Fahrenheit - 32) * 5/9
This formula converts each temperature value from Fahrenheit to Celsius by subtracting 32 and multiplying by 5/9. For example, if the temperature is 68°F, the rescaled value in Celsius is:
Celsius = (68 - 32) * 5/9 Celsius = 20°C
Rescaling the data can help the analyst to report the temperatures in a consistent and accurate way, and to avoid any confusion or errors that may arise from using different scales. Rescaling can also make the data more comparable and compatible with other data sources or standards that use the same scale12.

質問 # 344
......
暇な時間だけでCompTIAのDA0-001試験に合格したいのですか。我々の提供するPDF版のCompTIAのDA0-001試験の資料はあなたにいつでもどこでも読めさせます。我々もオンライン版とソフト版を提供します。すべては豊富な内容があって各自のメリットを持っています。あなたは各バーションのCompTIAのDA0-001試験の資料をダウンロードしてみることができ、あなたに一番ふさわしいバーションを見つけることができます。
DA0-001復習資料: https://www.topexam.jp/DA0-001_shiken.html
P.S.TopexamがGoogle Driveで共有している無料の2026 CompTIA DA0-001ダンプ：https://drive.google.com/open?id=1_T4MeW04fhvwc811nINV1VbzA67gkEZ_
https://www.jpexam.com
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