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NEW QUESTION: 1
You are designing the data access layer (DAL) for an application that uses Microsoft SQL Server 2008, Microsoft ADO.NET, and Microsoft Visual Studio 2010.
Conflicts are occurring in the SQL Server database due to concurrent updates.
You need to design a database locking strategy that meets the following requirements:
Resolves concurrent update conflicts without loss of data
Ensures that data conflicts can be resolved by users
Locks only the data necessary for updates
What should you do?
A. Use pessimistic locking. Terminate the update when a DBConcurrencyException occurs.
B. Use pessimistic locking. Retry the failing update operation in the DBConcurrencyException exception handler until it succeeds.
C. Use optimistic locking. Terminate the update when a DBConcurrencyException occurs.
D. Use optimistic locking. In the DBConcurrencyException exception handler, display the data of both original and updated records to the user. Allow the user to resolve the conflicts.
Answer: D
NEW QUESTION: 2
自律データウェアハウス（ADW）に直接データをロードするために有効な2つのオプションはどれですか？
A. SQL * Loader
B. データ転送サービス
C. データインテグレータ
D. データポンプ
Answer: A,D
NEW QUESTION: 3
車間の距離を推定できるように、画像内の車の位置を特定する必要があります。
どのタイプのコンピュータビジョンを使用する必要がありますか？
A. 物体検出
B. 画像分類
C. 顔検出
D. 光学式文字認識（OCR）
Answer: A
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
NEW QUESTION: 4
Which of the following is an example of a corrective measure?
A. To make a backup of the data that has been created or altered
B. To incorporate an Intrusion Detection System
C. To install a virus scanner
D. To restore a backup of the correct database
Answer: D
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