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NEW QUESTION: 1
2人のチームメンバーが、タスクを完了するための異なるアイデアを持つプロジェクトマネージャーにアプローチします。
チームメンバーのアイデアを聞いた後、プロジェクトマネージャーはどちらも選択せず、元の計画どおりに両方のメンバーにタスクを完了させる必要があります。 プロジェクトマネージャーは以下の衝突解像度テクニックのうちのどれを適用するか？
A. Forcing
B. Avoiding
C. Compromising
D. Smoothing
Answer: D
Explanation:
"Smoothing is a temporary way to resolve conflict. In this technique, the areas of agreement are emphasized over the areas of difference" Excerpt From: Kim Heldman. "CompTIA Project+ Study Guide." iBooks.

NEW QUESTION: 2
Azure AppServiceでホストされているWebアプリがあります。 Webアプリは、データをAzureSQLデータベースに格納します。
データベースへの同時接続が10,000ある場合は、アラートを生成する必要があります。ソリューションは、開発の労力を最小限に抑える必要があります。
データベースの診断設定でどのオプションを選択する必要がありますか？
A. mストレージアカウントにアーカイブ
B. イベントハブにストリーミング
C. ログ分析に送信
Answer: C
Explanation:
Explanation
ENABLE DIAGNOSTICS TO LOG ANALYTICS
This configuration is done PER DATABASE
1. Click on Diagnostics Settings and then Turn On Diagnostics

2. Select to Send to Log Analytics and select the Log Analytics workspace. For this sample I will selected only Errors

Reference:
https://techcommunity.microsoft.com/t5/azure-database-support-blog/azure-sql-db-and-log-analytics-better-toget

NEW QUESTION: 3
Where are custom queries stored in R75 SmartView Tracker?
A. On the Security Management Server tied to the GUI client IP.
B. On the Security Management Server tied to the Administrator User Database login name.
C. On the SmartView Tracker PC local file system under the user's profile.
D. On the SmartView Tracker PC local file system shared by all users of that local PC.
Answer: B

NEW QUESTION: 4
You send an image to a Computer Vision API and receive back the annotated image shown in the exhibit.

Which type of computer vision was used?
A. semantic segmentation
B. image classification
C. optical character recognition (OCR)
D. object detection
Answer: D
Explanation:
Explanation
Object detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found. For example, if an image contains a dog, cat and person, the Detect operation will list those objects together with their coordinates in the image. You can use this functionality to process the relationships between the objects in an image. It also lets you determine whether there are multiple instances of the same tag in an image.
The Detect API applies tags based on the objects or living things identified in the image. There is currently no formal relationship between the tagging taxonomy and the object detection taxonomy. At a conceptual level, the Detect API only finds objects and living things, while the Tag API can also include contextual terms like
"indoor", which can't be localized with bounding boxes.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection