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NEW QUESTION: 1
You are designing an architecture with a serveress ML system to enrich customer support tickets with informative metadata before they are routed to a support agent. You need a set of models to predict ticket priority, predict ticket resolution time, and perform sentiment analysis to help agents make strategic decisions when they process support requests. Tickets are not expected to have any domain-specific terms or jargon.
The proposed architecture has the following flow:

Which endpoints should the Enrichment Cloud Functions call?
A. 1 = Al Platform, 2 = Al Platform, 3 = AutoML Vision
B. 1 = Al Platform, 2 = Al Platform, 3 = Cloud Natural Language API
C. 1 = Al Platform, 2 = Al Platform, 3 = AutoML Natural Language
D. 1 = cloud Natural Language API, 2 = Al Platform, 3 = Cloud Vision API
Answer: C

NEW QUESTION: 2
Which statement about known errors and problems is CORRECT?
A. Known errors cause vulnerabilities, problems cause incidents
B. Known error is the status assigned to a problem after it has been analysed
C. Known errors are managed by technical staff, problems are managed by service management staff
D. A known error is the cause of one or more problems
Answer: B

NEW QUESTION: 3
どの層のデータセンターでも、どのような種類の冗長性が期待できますか？
応答：
A. 緊急出口
B. すべてのインフラストラクチャ
C. すべての運用コンポーネント
D. フルパワー機能
Answer: A