GoShiken DA0-001日本語リアル試験問題DA0-001日本語練習問題集
厳密検証されたDA0-001日本語試験問題集と解答で無料提供のDA0-001日本語問題と正解付き
質問 # 46
英数字の値が含まれるのは次のうちどれですか?
- A. 0
- B. A3J7
- C. 10.1 ㎡
- D. 13.6
正解：B
解説：
Explanation
Alphanumeric values are values that contain both letters and numbers, such as A3J7. The other options are numeric values, as they contain only numbers, such as 10.1E2, 13.6, and 1347. Reference: Guide to CompTIA Data+ and Practice Questions - Pass Your Cert
質問 # 47
アナリストが会社のイントラネットの使用状況を追跡しており、30 を超えるリンクを含むホームページの最も使用されている/最もクリックされている部分を表示するチャットを作成するように依頼されました。次のビジュアライゼーションのうち、この情報を最もよく表しているのはどれですか?
- A. 円グラフ
- B. インフォグラフィック
- C. 散布図
- D. ヒートマップ
正解：D
解説：
Explanation
This is because a heat map is a visualization that uses colors to represent different values or intensities of a variable. A heat map can be used to show the most-used/most-clicked portions of a homepage that contains more than 30 links by assigning different colors to each link based on how frequently they are clicked by the users. For example, a link that is clicked very often can be colored red, while a link that is clicked rarely can be colored blue. A heat map can help the analyst to identify which links are more popular or important than others on the homepage. The other visualizations are not as effective as a heat map for this purpose. Here is why:
A scatter plot is a visualization that uses dots or points to represent the relationship between two variables. A scatter plot cannot show the most-used/most-clicked portions of a homepage that contain more than 30 links because it does not have a clear way of mapping each link to a point on the graph.
A pie chart is a visualization that uses slices or sectors to represent the proportion of each category in a whole.
A pie chart cannot show the most-used/most-clicked portions of a homepage that contains more than 30 links because it does not have enough space to display all the categories clearly and accurately.
An infographic is a visualization that uses images, icons, charts, and text to convey information or tell a story.
An infographic cannot show the most-used/most-clicked portions of a homepage that contain more than 30 links because it does not have a consistent or standardized way of representing each link and its click frequency.
質問 # 48
データセットはマルチメディア技術を使用して記録されました。解釈する上で必要なステップは次のうちどれですか?
- A. サンプリング
- B. 転写
- C. 構造方程式モデリング
- D. 逐次解析
正解：B
解説：
Explanation
The correct answer is B. Transcription.
Transcription is a necessary step on the way to interpretation when a data set was recorded using multimedia technology. Multimedia technology refers to the use of various forms of media, such as audio, video, images, and text, to capture and present information1 Transcription is the process of converting multimedia data into written or textual form, which can then be analyzed using various methods and tools2 Transcription can help to make the data more accessible, searchable, and manageable, as well as to preserve the data for future use.
Structural equation modeling is not correct, because it is a statistical technique that tests the causal relationships between multiple variables using observed and latent variables. Structural equation modeling is not a necessary step on the way to interpretation, but rather an optional method that can be applied to certain types of data.
Sequential analysis is not correct, because it is a method of analyzing the order and timing of events or behaviors in a data set. Sequential analysis is not a necessary step on the way to interpretation, but rather an optional method that can be applied to certain types of data.
Sampling is not correct, because it is the process of selecting a subset of data from a larger population for analysis. Sampling is not a necessary step on the way to interpretation, but rather a preliminary step that can be done before collecting or analyzing the data.
質問 # 49
回収マネージャーには、支払い期限を過ぎた顧客に電話して支払いを回収するチームがいます。マネージャは、毎週初めに経理部門によって作成される印刷レポートの形式で通話リストを受け取ります。したがって、回収チームは、レポートが最後に印刷されてから一定期間内に支払いを行った一部の顧客に電話をかけます。当座預金口座のコール数を減らすために、会計部門が実装できるレポート機能強化は次のうちどれですか?
- A. レポートの日付範囲を変更します。
- B. レポートにタイムスタンプを含めます。
- C. レポート実行日をレポートに追加します。
- D. レポートの生成頻度を上げます。
正解：D
解説：
Explanation
The best reporting enhancement that the accounting department could implement to reduce the number of calls on current accounts is C. Increase the frequency of report generation.
By increasing the frequency of report generation, the accounting department could provide the collections manager with more up-to-date information on the customers who are past due on their accounts. This would help to avoid calling customers who have made payments in the time since the last report was printed, and thus reduce the number of calls on current accounts. Increasing the frequency of report generation would also improve the accuracy and timeliness of the data, and enhance the efficiency and effectiveness of the collections process.
Modifying the date range on the report, including a time stamp on the report, or adding a report run date to the report would not be sufficient to reduce the number of calls on current accounts. These enhancements would only provide information on when the report was generated or what period it covers, but they would not change the fact that the report could be outdated by the time it reaches the collections manager. Therefore, these enhancements would not solve the problem of calling customers who have already paid their accounts.
質問 # 50
大数の法則を最もよく表しているのは次のうちどれですか?
- A. サンプルサイズが減少するにつれて、その平均は母集団全体の平均に近づきます。
- B. サンプルサイズが小さくなるにつれて、標準偏差は母集団全体の平均に近づきます。
- C. サンプルサイズが大きくなるにつれて、平均値は母集団全体の平均値に近づきます。
- D. サンプルサイズが 2 倍になる場合。サンプルは母集団全体を示しています。
正解：C
解説：
Explanation
The best answer is B. As a sample size grows, its mean gets closer to the average of the whole population.
The law of large numbers, in probability and statistics, states that as a sample size grows, its mean gets closer to the average of the whole population. This is due to the sample being more representative of the population as it increases in size. The law of large numbers guarantees stable long-term results for the averages of some random events1 A: As a sample size decreases, its standard deviation gets closer to the average of the whole population is not correct, because it confuses the concepts of standard deviation and mean. Standard deviation is a measure of how much the values in a data set vary from the mean, not how close the mean is to the population average.
Also, as a sample size decreases, its standard deviation tends to increase, not decrease, because the sample becomes less representative of the population.
C: As a sample size decreases, its mean gets closer to the average of the whole population is not correct, because it contradicts the law of large numbers. As a sample size decreases, its mean tends to deviate from the average of the whole population, because the sample becomes less representative of the population.
D: When a sample size doubles, the sample is indicative of the whole population is not correct, because it does not specify how close the sample mean is to the population average. Doubling the sample size does not necessarily make the sample indicative of the whole population, unless the sample size is large enough to begin with. The law of large numbers does not state a specific number or proportion of samples that are indicative of the whole population, but rather describes how the sample mean approaches the population average as the sample size increases indefinitely.
質問 # 51
データ アナリストは、既存の変数「収入」に基づいて計算される「収入カテゴリ」を作成したいと考えています。「所得区分」は次のようになります。
所得区分 1: 1 ドル未満。
所得区分 2: 1 ドル以上 20,000 ドル未満。
所得区分 3: 20,001 ドル以上 40,000 ドル未満。
収入カテゴリー 4: 40,001 ドル以上。
データ アナリストが「収入カテゴリ」を作成するために使用するデータ操作手法は、次のうちどれですか?
- A. データマージ
- B. データ追加
- C. データブレンディング
- D. 派生変数
正解：D
解説：
The correct answer is B: Derived variables Derived variables are variables that you create by calculating or categorizing variables that already exist in your data set.
Data merge is incorrect. Data merging is the process of combining two or more data sets into a single data set. Data blending is incorrect.
Data blending involves pulling data from different sources and creating a single, unique, dataset for visualization and analysis.
Data append is incorrect. A data append is a process that involves adding new data elements to an existing database.
質問 # 52
次のデータがあるとします。
次のうち、データセットを最もよく表しているのはどれですか?
- A. データに偏りがあります。
- B. データが不完全です。
- C. データは外れ値です。
- D. データに不整合があります。
正解：D
質問 # 53
データ スチュワードは、高額な罰金や否定的な評判につながる可能性のある法的違反から組織を保護します。
- A. いいえ。
- B. そうです。
正解：B
質問 # 54
分析のビジネス要求を受け取ったときにアナリストが実行する必要がある最初のステップは次のうちどれですか?
- A. 問題を解決するための方法論を最終決定します。
- B. ビジネス上の質問を確認して範囲を理解します。
- C. 探索的データ分析のための分析を開始します。
- D. 分析のためのデータのニーズとソースを決定します。
正解：B
解説：
Explanation
answer: C. Review the business questions to understand the scope.
The first step an analyst should perform upon receiving a business request for analysis is to review the business questions to understand the scope of the problem, the objectives, and the expected outcomes. This will help the analyst to define the analytical approach, identify the data needs and sources, and plan the analysis process. Reviewing the business questions will also help the analyst to communicate with the stakeholders and clarify any assumptions or ambiguities1.
Option A is incorrect, as determining the data needs and sources for analysis is not the first step, but rather a subsequent step that depends on the business questions and the analytical approach.
Option B is incorrect, as initiating the analysis for exploratory data analysis is not the first step, but rather a part of the analysis process that involves examining and summarizing the data, identifying patterns and outliers, and testing hypotheses.
Option D is incorrect, as finalizing the methodology to solve the problem is not the first step, but rather a later step that involves selecting and applying the appropriate analytical techniques, tools, and models to answer the business questions.
質問 # 55
データ アナリストは、各販売員が販売した合計数量に基づいて、「Promotion_flag」というラベルの付いた新しい変数を導き出すように依頼されました。以下の表を考えると：
Quantity_sold 列の数値が 1,000,000 を超えるすべての営業担当者に「はい」のフラグを立てるのに適切だとアナリストが考える関数は次のうちどれですか?
- A. 集計
- B. 数学
- C. 論理
- D. 日付
正解：A
質問 # 56
エレンは大学 1 年生の 17 歳の学生です。家族の教育の権利とプライバシーに関する法 FERPA の下で、教育記録の第三者への開示を管理する権利を持っているのは誰ですか?
- A. 学校はエレンに代わってこの権利を行使します。
- B. エレン自身がこの権利を保持しています。
- C. この状況では、誰も FERPA に基づく権利を主張する資格がありません。
- D. エレンの両親または保護者がこの権利を持っています。
正解：B
質問 # 57
営業マネージャーは、四半期ごとの販売レポートをユニットおよび週ごとに分類したいと考えています。次のデータ出力リストのうち、最も必要な情報が含まれているものはどれですか?
- A. 項目名。販売員。価格。輸送費。そして発送日
- B. 商品名、販売者。受取人の住所、送料。そして発送日
- C. 商品番号、商品名、販売員。販売日。そして価格
- D. 注文番号。販売員。発送日、受取人住所、価格
正解：C
解説：
Explanation
To create a quarterly sales report broken down by unit and week, the most necessary information is the item number, item name, salesperson, date sold, and price. These data elements can help the sales manager to track the sales volume, revenue, and performance of each unit and each week within a quarter. The item number and item name can identify the products or services sold by each unit. The salesperson can indicate the individual or team responsible for each sale. The date sold can show when each sale occurred and how it relates to the weekly and quarterly goals. The price can show how much revenue each sale generated and how it contributes to the unit and quarterly totals.
質問 # 58
データ分析レポートのビジネス要件を理解した後、次に達成する必要があるのは次のうちどれですか?
- A. ビジネス要件を言い換えます。
- B. モック ダッシュボード/プレゼンテーション レイアウトを作成します。
- C. 分析に必要なデータを決定する
- D. 探索的データ分析を実行します。
正解：D
質問 # 59
データ アナリストは、販売のストーリーを提供し、顧客ごとの販売量が最も多いサイトを特定するダッシュボードを設計しています。アナリストは、ダッシュボードに含める適切なグラフを選択する必要があります。次のデータが利用可能です。
次のタイプのグラフのうち、考慮すべきものはどれですか?
- A. サイトと売上を使用した円グラフを含めて、顧客ごとの売上を平均します。
- B. 顧客ごとの売上高と平均売上高を使用した散布図を含めます。
- C. サイトと売上を使用した縦棒グラフを含めて、顧客ごとの売上を平均します。
- D. サイトを使用した折れ線グラフと顧客あたりの平均売上高を含めます。
正解：C
解説：
Explanation
The best type of chart to display the data is D. Include a column chart using the site and sales to average sales per customer.
A column chart is a good choice for comparing categorical data with numerical data, such as the site and sales to average sales per customer. A column chart can show the relative differences between the sites and highlight the site with the highest sales volume per customer. A column chart can also be easily labeled and formatted to make the data clear and understandable.
A line chart is not suitable for this data, because it is used to show trends or changes over time, which is not relevant for the site and sales to average sales per customer data. A line chart would also be confusing and misleading, as it would imply a connection or correlation between the sites that does not exist.
A pie chart is also not a good choice for this data, because it is used to show the proportion of a whole, not the comparison of different categories. A pie chart would also be difficult to read and interpret, as it would require labels or legends to identify the sites and their sales to average sales per customer. A pie chart would also not be able to show the exact values of the sales to average sales per customer, only their relative sizes.
A scatter chart is another inappropriate option for this data, because it is used to show the relationship or correlation between two numerical variables, not between a categorical and a numerical variable. A scatter chart would also be cluttered and unclear, as it would plot each site as a point on a coordinate plane, without any labels or axes. A scatter chart would also not be able to show the differences or rankings between the sites and their sales to average sales per customer.
質問 # 60
次のうち、ライブ ストリーミングされる可能性が最も高いのはどれですか?
- A. マシンデータ
- B. 区切られた行
- C. キーと値のペア
- D. フラットファイル
正解：D
質問 # 61
テイラーは、製造、マーケティング、および販売の支出が会社の全体的な収益性にどのように影響するかを調査したいと考えています。
次のシステムのうち、最も適切なものはどれですか?
- A. OLAP.
- B. OLTP.
- C. Data mart.
- D. Data warehouse.
正解：D
解説：
A Data mart is too narrow, because Taylor needs data from across multiple divisions.
OLAP is a broad term for analytical processing, and OLTP systems are transactional and not ideal for the task. Since Taylor is working with data across multiple different divisions, she will work with a Data warehouse.
質問 # 62
最近、e コマース企業が新しい Web サイトのレイアウトをテストしました。Web サイトは顧客のテスト グループによってテストされ、古い Web サイトは対照グループに提示されました。以下の表は、ウェブサイトで購入した各グループのユーザーの割合を示しています。
次の結論のうち、95% 信頼区間で正確なのはどれですか?
- A. ドイツでは、新しいレイアウトによるコンバージョンの増加はそれほど大きくありませんでした。
- B. 一般的に、新しい Web サイトにアクセスしたユーザーは購入する可能性が高くなります。
- C. フランスでは、新しいレイアウトによるコンバージョンの増加はそれほど大きくありませんでした。
- D. 新しいレイアウトのコンバージョン率は、英国で最も低くなっています。
正解：A
解説：
Explanation
The p-value is a measure of how likely it is to observe a difference in conversion rates as large or larger than the one observed, assuming that there is no difference between the groups. A common threshold for statistical significance is 0.05, meaning that there is a 5% or less chance of observing such a difference by chance alone.
The table shows the p-values for each country, and we can see that only Germany has a p-value above 0.05 (0.13). This means that we cannot reject the null hypothesis that there is no difference in conversion rates between the test and control groups in Germany. Therefore, the increase in conversion from the new layout was not significant in Germany. For the other countries, the p-values are below 0.05, indicating that the increase in conversion from the new layout was statistically significant. Option A is correct.
Option B is incorrect because the increase in conversion from the new layout was significant in France (p-value = 0.002).
Option C is incorrect because it does not account for the variation across countries. While the overall conversion rate for the test group (8.4%) is higher than the control group (6.8%), this difference may not be statistically significant when we consider the country-specific effects.
Option D is incorrect because the new layout has the highest conversion rate in the United Kingdom (9.6%), not the lowest.
References:
P-value Calculator & Statistical Significance Calculator
p-value Calculator | Formula | Interpretation
How to obtain the P value from a confidence interval | The BMJ
Confidence Intervals & P-values for Percent Change / Relative Difference
質問 # 63
......
無料でゲット！高評価CompTIA DA0-001日本語試験問題集を今すぐダウンロード！：https://www.goshiken.com/CompTIA/DA0-001J-mondaishu.html