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NEW QUESTION: 1
SIMULATION
Overview
The following section of the exam is a lab. In this section, you will perform a set of tasks in a live environment. While most functionality will be available to you as it would be in a live environment, some functionality (e.g., copy and paste, ability to navigate to external websites) will not be possible by design.
Scoring is based on the outcome of performing the tasks stated in the lab. In other words, it doesn't matter how you accomplish the task, if you successfully perform it, you will earn credit for that task.
Labs are not timed separately, and this exam may have more than one lab that you must complete. You can use as much time as you would like to complete each lab. But, you should manage your time appropriately to ensure that you are able to complete the lab(s) and all other sections of the exam in the time provided.
Please note that once you submit your work by clicking the Next button within a lab, you will NOT be able to return to the lab.
To start the lab
You may start the lab by clicking the Next button.
You recently created a virtual machine named Web01.
You need to attach a new 80-GB standard data disk named Web01-Disk1 to Web01.
What should you do from the Azure portal?
A. See below explanation
Answer: A
Explanation:
Add a data disk
Step 1. In the Azure portal, from the menu on the left, select Virtual machines.
Step 2. Select the Web01 virtual machine from the list.
Step 3. On the Virtual machine page, , in Essentials, select Disks.

Step 4. On the Disks page, select the Web01-Disk1 from the list of existing disks.
Step 5. In the Disks pane, click + Add data disk.
Step 6. Click the drop-down menu for Name to view a list of existing managed disks accessible to your Azure subscription. Select the managed disk Web01-Disk1 to attach:

References:
https://docs.microsoft.com/en-us/azure/virtual-machines/linux/attach-disk-portal

NEW QUESTION: 2
あなたはOrderDetailsテーブルにXMLファイルからデータを挿入するストアドプロシージャを作成する予定です。以下はストアドプロシージャの署名です:

以下はValidateOrderスキーマコレクションを作成するために使用されるXSDファイルです:

あなたは各アイテムをアイテムとループの数を取得するコードセグメントを開発しています。ループは実行されるたびに[email protected]という名前の変数がインクリメントされます。
あなたはループ内の各項目番号の製品IDを取得するコードセグメントを開発する必要があります。
どのコードセグメントはあなたが開発すべきか。
A. SET @productID = @items.value'/Root/Product/@productID', int)
B. SET @productID = @items.value'/Root/Product/productID', int)
C. SET @productID = @items.value'/Root/Product['+ @itemNumber+ ']/@productID', int)
D. SET @productID = @items.value'/Root/Product['+ @itemNumber+ ']/productID', int)
Answer: C
Explanation:
Topic 7, Fourth Coffee
Background
Corporate Information
Fourth Coffee is global restaurant chain. There are more than 5,000 locations worldwide.
Physical Locations
Currently a server at each location hosts a SQL Server 2012 instance. Each instance contains a database called StoreTransactions that stores all transactions from point of sale and uploads summary batches nightly.
Each server belongs to the COFFECORP domain. Local computer accounts access the StoreTransactions database at each store using sysadmin and datareaderwriter roles.
Planned changes
Fourth Coffee has three major initiatives:
* The IT department must consolidate the point of sales database infrastructure.
* The marketing department plans to launch a mobile application for micropayments.
* The finance department wants to deploy an internal tool that will help detect fraud.
Initially, the mobile application will allow customers to make micropayments to buy coffee and other items on the company web site. These micropayments may be sent as gifts to other users and redeemed within an hour of ownership transfer. Later versions will generate profiles based on customer activity that will push texts and ads generated by an analytics application.
When the consolidation is finished and the mobile application is in production, the micropayments and point of sale transactions will use the same database.
Existing Environment
Existing Application Environment
Some stores have been using several pilot versions of the micropayment application. Each version currently is in a database that is independent from the point of sales systems. Some versions have been used in field tests at local stores, and others are hosted at corporate servers. All pilot versions were developed by using SQL Server 2012.
Existing Support Infrastructure
The proposed database for consolidating micropayments and transactions is called CoffeeTransactions. The database is hosted on a SQL Server 2014 Enterprise Edition instance and has the following file structures:

Business Requirements
General Application Solution Requirements
The database infrastructure must support a phased global rollout of the micropayment application and consolidation.
The consolidated micropayment and point of sales database will be into a CoffeeTransactions database. The infrastructure also will include a new CoffeeAnalytics database for reporting on content from CoffeeTransactions.
Mobile applications will interact most frequently with the micropayment database for the following activities:
* Retrieving the current status of a micropayment;
* Modifying the status of the current micropayment; and
* Canceling the micropayment.
The mobile application will need to meet the following requirements:
* Communicate with web services that assign a new user to a micropayment by using a stored procedure named usp_AssignUser.
* Update the location of the user by using a stored procedure named usp_AddMobileLocation.
The fraud detection service will need to meet the following requirements:
* Query the current open micropayments for users who own multiple micropayments by using a stored procedure named usp.LookupConcurrentUsers.
* Persist the current user locations by using a stored procedure named usp_MobileLocationSnapshot.
* Look at the status of micropayments and mark micropayments for internal investigations.
* Move micropayments to dbo.POSException table by using a stored procedure named ups_DetectSuspiciousActivity.
* Detect micropayments that are flagged with a StatusId value that is greater than 3 and that occurred within the last minute.
The CoffeeAnalytics database will combine imports of the POSTransaction and MobileLocation tables to create a UserActivity table for reports on the trends in activity. Queries against the UserActivity table will include aggregated calculations on all columns that are not used in filters or groupings.
Micropayments need to be updated and queried for only a week after their creation by the mobile application or fraud detection services.
Performance
The most critical performance requirement is keeping the response time for any queries of the POSTransaction table predictable and fast.
Web service queries will take a higher priority in performance tuning decisions over the fraud detection agent queries.
Scalability
Queries of the user of a micropayment cannot return while the micropayment is being updated, but can show different users during different stages of the transaction.
The fraud detection service frequently will run queries over the micropayments that occur over different time periods that range between 30 seconds and ten minutes.
The POSTransaction table must have its structure optimized for hundreds of thousands of active micropayments that are updated frequently.
All changes to the POSTransaction table will require testing in order to confirm the expected throughput that will support the first year's performance requirements.
Updates of a user's location can tolerate some data loss.
Initial testing has determined that the POSTransaction and POSException tables will be migrated to an in-memory optimized table.
Availability
In order to minimize disruption at local stores during consolidation, nightly processes will restore the databases to a staging server at corporate headquarters.
Technical Requirements
Security
The sensitive nature of financial transactions in the store databases requires certification of the COFFECORP\Auditors group at corporate that will perform audits of the data. Members of the COFFECORP\Auditors group cannot have sysadmin or datawriter access to the database.
Compliance requires that the data stewards have access to any restored StoreTransactions database without changing any security settings at a database level.
Nightly batch processes are run by the services account in the COFFECORP\StoreAgent group and need to be able to restore and verify the schema of the store databases match.
No Windows group should have more access to store databases than is necessary.
Maintainability
You need to anticipate when POSTransaction table will need index maintenance.
When the daily maintenance finishes, micropayments that are one week old must be available for queries in UserActivity table but will be queried most frequently within their first week and will require support for in-memory queries for data within first week.
The maintenance of the UserActivity table must allow frequent maintenance on the day's most recent activities with minimal impact on the use of disk space and the resources available to queries. The processes that add data to the UserActivity table must be able to update data from any time period, even while maintenance is running.
The index maintenance strategy for the UserActivity table must provide the optimal structure for both maintainability and query performance.
All micropayments queries must include the most permissive isolation level available for the maximum throughput.
In the event of unexpected results, all stored procedures must provide error messages in text message to the calling web service.
Any modifications to stored procedures will require the minimal amount of schema changes necessary to increase the performance.
Performance
Stress testing of the mobile application on the proposed CoffeeTransactions database uncovered performance bottlenecks. The sys.dm_os_wait_stats Dynamic Management View (DMV) shows high wait_time values for WRTTELOG and PAGEIOLATCHJJP wait types when updating the MobileLocation table.
Updates to the MobileLocation table must have minimal impact on physical resources.
Supporting Infrastructure
The stored procedure usp_LookupConcurrentUsers has the current implementation:

The current stored procedure for persisting a user location is defined in the following code:

The current stored procedure for managing micropayments needing investigation is defined in the following code:

The current table, before implementing any performance enhancements, is defined as follows:


NEW QUESTION: 3
An architect is attempting to confirm that all logical interfaces (LIFs) are properly planned with a new clustered Data ONTAP 8.3 implementation. The customer wants to provision NFS datastores across the cluster to allow client access.
In this scenario, which LIF role satisfies this requirement?
A. cluster LIF
B. cluster-management LIF
C. data LIF
D. intercluster LIF
Answer: C

NEW QUESTION: 4
Windows Server 2016을 실행하는 Server1과 Server 2라는 두 서버가 있습니다.
서버 1 및 서버 2는 NLB (Network Load Balancing) 클러스터의 노드입니다. Web Sever 서버 역할은 각 노드에 설치됩니다.
사용자는 웹 양식 데이터를 제출할 때 데이터가 저장되지 않으며 양식을 다시 채워야 한다고 보고합니다.
문제를 해결해야 합니다. 솔루션은 서버 1 서버 2간에 연결이로드 밸런싱 되도록 해야 합니다.
NLB 클러스터에서 무엇을 해야 합니까?
A. 모든 네트워크 어댑터에 Microsoft로드 균형 조정 / 장애 조치 공급자 서비스를 추가하십시오.
B. IP 주소를 추가하십시오.
C. 기존 포트 규칙을 수정하십시오.
D. 클러스터 작동 모드를 수정하십시오.
Answer: D