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NEW QUESTION: 1
経営陣による監査結果の修正を検証するためにサンプリングが必要な場合、最も重要な考慮事項は次のうちどれですか?
A. サンプリング手法が業界標準に適合しているかどうか
B. 管理者が使用するサンプリング方法を承認するかどうか
C. サンプリングを実行する監査チームのメンバーが、選択したサンプリング手法について適切にトレーニングされているかどうか
D. テスト用の代表的な母集団を作成するのに十分な時間が経過したかどうか
Answer: D
NEW QUESTION: 2
A company has a native iOS app for placing orders that needs to connect to Salesforce to retrieve consolidated information from many different objects in a JSON format. Which is the optimal method to implement this in Salesforce?
A. Apex SOAP Web Service
B. Apex SOAP Callout
C. Apex REST Web Service
D. Apex REST Callout
Answer: C
NEW QUESTION: 3
You are building a Language Understanding model for an e-commerce platform. You need to construct an entity to capture billing addresses.
Which entity type should you use for the billing address?
A. Pattern.any
B. geographyV2
C. machine learned
D. Regex
E. list
Answer: D
Explanation:
A regular expression entity extracts an entity based on a regular expression pattern you provide. It ignores case and ignores cultural variant. Regular expression is best for structured text or a predefined sequence of alphanumeric values that are expected in a certain format. For example:
Incorrect Answers:
C: The prebuilt geographyV2 entity detects places. Because this entity is already trained, you do not need to add example utterances containing GeographyV2 to the application intents. GeographyV2 entity is supported in English culture.
The geographical locations have subtypes:
D: Pattern.any is a variable-length placeholder used only in a pattern's template utterance to mark where the entity begins and ends.
E: A list entity represents a fixed, closed set of related words along with their synonyms. You can use list entities to recognize multiple synonyms or variations and extract a normalized output for them. Use the recommend option to see suggestions for new words based on the current list.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-entity-types
