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IBM M2090-822日本語 Exam Syllabus Topics:
| Section | Objectives |
| Topic 1: Sales Positioning and Use Cases | - Business value messaging
- 1. Operational efficiency improvements
- 2. ROI of data integration
- Industry scenarios
- 1. Financial services data governance
- 2. Retail customer analytics
|
| Topic 2: Information Integration Concepts | - Enterprise data integration challenges
- 1. Heterogeneous data sources
- 2. Data silos
- Data integration fundamentals
- 1. Data pipelines and workflows
- 2. ETL/ELT concepts
|
| Topic 3: Master Data Management (MDM) | - MDM use cases
- 1. Customer data consolidation
- 2. Product data management
- MDM concepts
- 1. Entity resolution
- 2. Golden record creation
|
| Topic 4: IBM Data Management Solutions | - IBM Cloud Pak for Data overview
- 1. AI and analytics integration
- 2. Integrated data platform capabilities
- IBM InfoSphere portfolio
- 1. DataStage ETL capabilities
- 2. Information Governance Catalog
|
| Topic 5: Information Governance | - Governance principles
- 1. Data quality management
- 2. Metadata management
- Compliance and security
- 1. Regulatory compliance
- 2. Data privacy controls
|
IBM Information Integration & Governance Sales Mastery v1 (M2090-822日本語版) Sample Questions:
Question 1
テスト環境でデータをマスキングすることは、重要な考慮事項ではありませんか?
A. データの大部分は個人を特定できる情報です
B. テスターと開発者は機密データにアクセスできます
C. 外部委託アプリケーションのテストには、海外に送信される個人を特定する情報が必要です
D. クライアントには機密データがありません
Question 2
どの声明が真実ですか?
A. DataStageは、DataWorksよりもシンプルなユーザーインターフェイスを備えており、あまり技術的なユーザーを対象としていません。
B. DataWorksには限られたデータ準備アクションセットがありますが、DataStageにはより包括的なデータ変換機能セットがあります。
C. DataWorksは、クラウドに展開されている情報統合およびガバナンスポートフォリオの唯一の製品です。
D. DataWorksとDataStageは両方とも同じソースとターゲットのセットをサポートし、同等のスループットを持っています。
Question 3
クライアントは、新しい分析プロジェクトをサポートするために、オンプレミスのPDAデータウェアハウスからdashDBにデータを迅速かつ安全に移動する必要があります。これには潜在的に10テラバイト以上のデータが含まれる可能性があり、ネットワークへの影響を最小限に抑えてデータを移動する非常にシンプルで高速なデータ転送ソリューションが必要です。
どの情報統合およびガバナンスソリューションがニーズに最適ですか?
A. 保存されたIQ
B. DataWorks
C. DataWorks Lift
D. DataStage on the Cloud
Question 4
顧客のWeb開発者は、RESTfulデータサービスを新規および既存のアプリケーションに組み込み、Watson Analyticsで使用するエンドユーザーにデータを配信することにより、既存のデータを使用してデータ豊富なアプリケーションを開発しようとしています。
どの情報統合およびガバナンスソリューションがニーズに適合しますか?
A. データ複製
B. DataWorks
C. DataWorks Lift
D. Biglnsights Biglntegrate
Solutions:
Question 1 Answer: D | Question 2 Answer: B | Question 3 Answer: C | Question 4 Answer: D |