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NEW QUESTION: 1
You have a database named DB1 that contains a temporal table named Sales.Customers.
You need to create a query that returns the credit limit that was available to each customer in DB1 at the beginning of 2017.
Which query should you execute?
A：

B：

C：

D：

A. Option C
B. Option A
C. Option D
D. Option B
Answer: A
Explanation:
Explanation/Reference:
Explanation:
AS OF: Returns a table with a rows containing the values that were actual (current) at the specified point in time in the past.
Incorrect Answers:
A, B: CONTAINED IN has two parameters: CONTAINED IN (<start_date_time> , <end_date_time>) References: https://docs.microsoft.com/en-us/sql/relational-databases/tables/querying-data-in-a-system- versioned-temporal-table

NEW QUESTION: 2
When backing up an Oracle database with EMC NetWorker Module for Databases and Applications, how is the Oracle backup level determined?
A. NSR_BACKUP_LEVEL parameter in RMAN backup script.
B. Level specified in RMAN backup script.
C. NSR_BACKUP_LEVEL parameter in NMDA configuration file.
D. Level specified in EMC NetWorker Schedules resource.
Answer: B

NEW QUESTION: 3
Azure Functionsに基づいたリアルタイムストリームソリューションを設計しています。ソリューションは、Azure Blob Storageにアップロードされたデータを処理します。
ソリューションの要件は次のとおりです。
新しいブロブは、できるだけ少し遅れて処理する必要があります。
スケーリングは自動的に行われる必要があります。
コストを最小限に抑える必要があります。
何をお勧めしますか？
A. 消費計画でAzure関数を展開し、イベントグリッドトリガーを使用します。
B. AzureサービスをApp Serviceプランにデプロイし、Blobトリガーを使用します。
C. AzureサービスをApp Serviceプランにデプロイし、イベントグリッドトリガーを使用します。
D. 消費計画でAzure関数を展開し、Blobトリガーを使用します。
Answer: D
Explanation:
Create a function, with the help of a blob trigger template, which is triggered when files are uploaded to or updated in Azure Blob storage.
You use a consumption plan, which is a hosting plan that defines how resources are allocated to your function app. In the default Consumption Plan, resources are added dynamically as required by your functions. In this serverless hosting, you only pay for the time your functions run. When you run in an App Service plan, you must manage the scaling of your function app.
References:
https://docs.microsoft.com/en-us/azure/azure-functions/functions-create-storage-blob-triggered-function
Topic 1, Trey Research
Case study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other question on this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next sections of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question on this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Background
Trey Research is a technology innovator. The company partners with regional transportation department office to build solutions that improve traffic flow and safety.
The company is developing the following solutions:

Regional transportation departments installed traffic sensor systems on major highways across North America. Sensors record the following information each time a vehicle passes in front of a sensor:
* Time
* Location in latitude and longitude
* Speed in kilometers per second (kmps)
* License plate number
* Length of vehicle in meters
Sensors provide data by using the following structure:

Traffic sensors will occasionally capture an image of a vehicle for debugging purposes.
You must optimize performance of saving/storing vehicle images.
Traffic sensor data
* Sensors must have permission only to add items to the SensorData collection.
* Traffic data insertion rate must be maximized.
* Once every three months all traffic sensor data must be analyzed to look for data patterns that indicate sensor malfunctions.
* Sensor data must be stored in a Cosmos DB named treydata in a collection named SensorData
* The impact of vehicle images on sensor data throughout must be minimized.
Backtrack
This solution reports on all data related to a specific vehicle license plate. The report must use data from the SensorData collection. Users must be able to filter vehicle data in the following ways:
* vehicles on a specific road
* vehicles driving above the speed limit
Planning Assistance
Data used for Planning Assistance must be stored in a sharded Azure SQL Database.
Data from the Sensor Data collection will automatically be loaded into the Planning Assistance database once a week by using Azure Data Factory. You must be able to manually trigger the data load process.
Privacy and security policy
* Azure Active Directory must be used for all services where it is available.
* For privacy reasons, license plate number information must not be accessible in Planning Assistance.
* Unauthorized usage of the Planning Assistance data must be detected as quickly as possible. Unauthorized usage is determined by looking for an unusual pattern of usage.
* Data must only be stored for seven years.
Performance and availability
* The report for Backtrack must execute as quickly as possible.
* The SLA for Planning Assistance is 70 percent, and multiday outages are permitted.
* All data must be replicated to multiple geographic regions to prevent data loss.
* You must maximize the performance of the Real Time Response system.
Financial Requirements
Azure resource costs must be minimized where possible.