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CompTIA DA0-002資格関連題、DA0-002日本語試験対策
P.S.CertShikenがGoogle Driveで共有している無料の2025 CompTIA DA0-002ダンプ：https://drive.google.com/open?id=1FP9EsmTBVwIZ4EypoypdIIj4w9ag5F5B
CertShikenの実践教材は、学生だけでなくオフィスワーカーにも適用されます。 職場の退役軍人だけでなく、新しく採用された新人にも適用されます。 DA0-002の学習教材は、非常にシンプルで理解しやすい言語を使用して、すべての人が学習して理解できるようにします。 また、DA0-002の実際のテストでは、教科書を読むのがつまらないことを回避できますが、CompTIA演習を行う過程で重要な知識をすべて習得できます。 そして、DA0-002試験問題の高い合格率は98％以上です。 CompTIA Data+ Exam (2025)学習ガイドを試してみませんか？
DA0-002試験問題のCompTIA3つのバージョンを用意して、クライアントが選択して無料でアップデートできるようにします。異なるバージョンは異なる利点を後押しします。ご購入の前に各バージョンの紹介を注意深くお読みください。そして、DA0-002学習教材の言語は理解しやすく、理論と実践の最新の開発状況に従ってDA0-002試験トレントをコンパイルします。 DA0-002試験の準備に少しの時間しか必要ありません。そのため、DA0-002の質問トレントを購入する価値があります。
>> CompTIA DA0-002資格関連題 <<
DA0-002日本語試験対策、DA0-002対策学習
当社CertShikenの専門家のほとんどは、長年プロの分野で勉強しており、DA0-002練習問題で多くの経験を蓄積しています。当社は、才能の選択にかなり慎重であり、常に専門知識とスキルのある従業員を雇用しています。専門家と作業スタッフの全員が高い責任感を維持しているため、DA0-002試験の資料を選択して長期的なパートナーになる人が非常に多くいます。
CompTIA Data+ Exam (2025) 認定 DA0-002 試験問題 (Q58-Q63):
質問 # 58
A recent server migration applied an update to dataset naming conventions. Multiple users are now reporting stale information in an existing dashboard. The date in the dataset confirms a successful data refresh. Which of the following should a data analyst do first?
- A. Verify that the dashboard subscription is not expired.
- B. Filter the data in the dashboard.
- C. Confirm the dashboard is pointed to the newest dataset.
- D. Escalate user permissions on the server.
正解：C
解説：
This question falls under theData Governancedomain, focusing on troubleshooting data freshness issues in dashboards. The dashboard shows stale data despite a successful refresh, and the server migration updated naming conventions, suggesting a potential mismatch.
* Confirm the dashboard is pointed to the newest dataset (Option A): The server migration updated dataset naming conventions, so the dashboard might still be pointing to an old dataset name, causing stale data. Confirming the dataset connection is the first step.
* Filter the data in the dashboard (Option B): Filtering might adjust the view but doesn't address the root cause of stale data.
* Escalate user permissions on the server (Option C): Permissions issues would likely prevent access, not cause stale data, especially since the dataset refreshed successfully.
* Verify that the dashboard subscription is not expired (Option D): An expired subscription might prevent access, but the dashboard is accessible, just showing stale data.
The DA0-002 Data Governance domain includes "data quality control concepts," such as ensuring dashboards connect to the correct, updated datasets after changes like server migrations.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
質問 # 59
Which of the following allows a data analyst to send out a spreadsheet containing sensitive information without revealing personal details?
- A. Encrypting the spreadsheet
- B. Redacting all PII
- C. Adding access controls to the ID column
- D. Using a UUID in the data file
正解：B
解説：
This question pertains to theData Governancedomain, focusing on data privacy and security. The task is to share a spreadsheet with sensitive information while protecting personal details.
* Using a UUID in the data file (Option A): A UUID (Universally Unique Identifier) can anonymize records, but if other PII (e.g., names) remains, personal details are still exposed.
* Redacting all PII (Option B): Redacting personally identifiable information (PII) removes sensitive details (e.g., names, addresses), ensuring personal information isn't revealed while sharing the spreadsheet.
* Adding access controls to the ID column (Option C): Access controls limit who can view the data, but the question focuses on the spreadsheet content itself, not access.
* Encrypting the spreadsheet (Option D): Encryption protects the file during transmission, but once opened, personal details are still visible unless redacted.
The DA0-002 Data Governance domain includes "data privacy concepts," and redacting PII is the most direct method to protect personal details in a shared spreadsheet.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
質問 # 60
Which of the following tables holds relational keys and numeric values?
- A. Fact
- B. Dimensional
- C. Transactional
- D. Graph
正解：A
解説：
This question falls under theData Concepts and Environmentsdomain, focusing on understanding table types in data warehousing. The task is to identify a table that holds relational keys and numeric values, typically used in a star schema.
* Fact (Option A): Fact tables in a star schema store quantitative data (numeric values, e.g., sales amounts) and foreign keys (relational keys) linking to dimension tables, making this the correct choice.
* Graph (Option B): Graph tables are used in graph databases for relationships (e.g., nodes, edges), not typically for relational keys and numeric values in a traditional sense.
* Dimensional (Option C): Dimension tables store descriptive attributes (e.g., product names) and primary keys, not typically numeric measures.
* Transactional (Option D): Transactional tables are used in OLTP systems and may contain numeric values, but they're not specifically designed for relational keys in a data warehousing context.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and fact tables are designed to hold relational keys and numeric values in a data warehouse.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.
質問 # 61
Which of the following AI types is the best option for time-series forecasting?
- A. Generative AI
- B. Robotic process automation
- C. Foundational models
- D. Natural language processing
正解：C
解説：
Foundational models are large AI models trained on vast amounts of data, often exhibiting strong generalization capabilities. While not specifically architected for time-series, their ability to learn complex patterns could potentially be leveraged for forecasting tasks through fine-tuning or specialized architectures built upon them.
In reality, the best AI types specifically designed for time-series forecasting include:
* Recurrent Neural Networks (RNNs), especially LSTMs and GRUs:These architectures are designed to handle sequential data and capture temporal dependencies.
* Transformer Networks:Originally developed for NLP, Transformers have shown remarkable success in time-series forecasting due to their ability to capture long-range dependencies.
* Traditional statistical models:ARIMA, Exponential Smoothing, and other statistical methods remain powerful and interpretable options for time-series analysis.
Therefore, while "foundational models" have some potential, it's important to understand that they aren't the primary or specifically designed AI type for time-series forecasting.
質問 # 62
A data analyst pulls a table similar to the following one:
ID
Type
TypeID
Phone
1
Full Time
Full Time 1
Mobile
2
Part Time
Part Time 2
Work
3
Full Time
Full Time 3
Mobile
Which of the following best explains the data issue with TypeID?
- A. Missing data
- B. Outlier
- C. Redundancy
- D. Duplication
正解：C
解説：
This question is part of theData Concepts and Environmentsdomain, focusing on identifying data quality issues. The table shows Type and TypeID columns, where TypeID seems to repeat information from Type with an additional identifier.
* Redundancy (Option A): The TypeID column (e.g., "Full Time 1") redundantly includes the Type value ("Full Time") with an extra identifier, which is unnecessary and could be simplified by using a numeric ID instead.
* Outlier (Option B): Outliers are data points that deviate significantly, which isn't applicable here.
* Missing data (Option C): There are no missing values in the table.
* Duplication (Option D): Duplication refers to identical rows, but the rows here are unique; the issue is with the column content.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and redundancy is a common data quality issue in schema design.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.
質問 # 63
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今日、CertShiken市場での競争は過去のどの時代よりも激しくなっています。 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。 そのため、DA0-002最高の学習教材を提供するため、CompTIA認定を取得する必要があります。 当社のCompTIA試験トレントは高品質で効率的であり、DA0-002テストに合格するのにCompTIA Data+ Exam (2025)役立ちます。
DA0-002日本語試験対策: https://www.certshiken.com/DA0-002-shiken.html
DA0-002試験トレントは、最短時間でCompTIA Data+ Exam (2025)試験に合格するのに役立ちます、しかし、どのように高品質のDA0-002テスト模擬を選択し、あまりにも多くの時間と精力なしで、あなたは試験に合格するのを助けますか、そして、他のお客様と同じようにDA0-002試験に合格すると信じています、不思議でしょう、DA0-002資料の全てのページはDA0-002試験に関連しています、CertShikenを選ぶなら、君は他の人の一半の努力で、同じCompTIAのDA0-002認定試験を簡単に合格できます、しかし、当社のDA0-002試験トレントを購入すると、時間と労力を節約でき、他のことをするための時間を節約できます、DA0-002最新の質問は多様な教育方法を採用します。
この新しい戦略とテクノロジーはパラダイムシフトを経験していますか、新井さんさっきの変更で沖田さんにはにかんでもう痛くないだろって肩を だから言わねーって言ってんだろ、DA0-002試験トレントは、最短時間でCompTIA Data+ Exam (2025)試験に合格するのに役立ちます。
最高のDA0-002資格関連題 & 合格スムーズDA0-002日本語試験対策 | 完璧なDA0-002対策学習
しかし、どのように高品質のDA0-002テスト模擬を選択し、あまりにも多くの時間と精力なしで、あなたは試験に合格するのを助けますか、そして、他のお客様と同じようにDA0-002試験に合格すると信じています、不思議でしょう。
DA0-002資料の全てのページはDA0-002試験に関連しています。
P.S. CertShikenがGoogle Driveで共有している無料かつ新しいDA0-002ダンプ：https://drive.google.com/open?id=1FP9EsmTBVwIZ4EypoypdIIj4w9ag5F5B
