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NEW QUESTION: 1
シミュレーション
クリックして各目標を展開します。 Azureポータルに接続するには、ブラウザーのアドレスバーに「https://portal.azure.com」と入力します。
すべてのタスクの実行が完了したら、[次へ]ボタンをクリックします。
[次へ]ボタンをクリックすると、ラボに戻ることはできません。残りの試験を完了する間、採点はバックグラウンドで行われます。
概観
試験の次のセクションはラボです。このセクションでは、ライブ環境で一連のタスクを実行します。ほとんどの機能はライブ環境と同じように使用できますが、一部の機能（コピーと貼り付け、外部のWebサイトに移動する機能など）は、設計上可能ではありません。
スコアリングは、ラボで述べられたタスクの実行結果に基づいています。つまり、タスクをどのように達成するかは関係ありません。タスクを正常に実行すると、そのタスクのクレジットを獲得できます。
ラボは個別に時間を計られておらず、この試験には、完了する必要のある複数のラボがある場合があります。各ラボを完了するのに必要なだけ時間を使用できます。ただし、時間を適切に管理して、指定された時間内にラボおよび試験の他のすべてのセクションを完了することができるようにする必要があります。
ラボ内の[次へ]ボタンをクリックして作品を送信すると、ラボに戻ることができなくなりますのでご注意ください。
ラボを開始するには
[次へ]ボタンをクリックしてラボを開始できます。
appgw1015という名前のアプリケーションゲートウェイをデプロイして、subnet0に接続されているAzure仮想マシンへの内部IPトラフィックを負荷分散する予定です。
計画中のアプリケーションゲートウェイをサポートするには、VNET1015という名前の仮想ネットワークを構成する必要があります。
Azureポータルから何をすべきですか？
A. ステップ1：
ネットワーク、仮想ネットワークをクリックし、VNET1015を選択します。
ステップ2：
サブネットをクリックし、表示されるVNET1015-Subnetsペインで+ Addをクリックします。
ステップ3：
[サブネット]ページで、上部にある[+ゲートウェイサブネット]をクリックして、[サブネットの追加]ページを開きます。
ステップ4：
subnet0を見つけて追加します。
B. ステップ1：
ネットワーク、仮想ネットワークをクリックし、VNET1015を選択します。
ステップ2：
サブネットをクリックし、表示されるVNET1015-Subnetsペインで+ Addをクリックします。
ステップ3：
[サブネット]ページで、上部にある[+ゲートウェイサブネット]をクリックして、[サブネットの追加]ページを開きます。
ステップ4：
subnet0を見つけて追加します。
Answer: A
Explanation:
References:
https://docs.microsoft.com/en-us/azure/vpn-gateway/vpn-gateway-howto-site-to-site-resource-manager-portal
Topic 1, Label Maker app
Requirements Data
You identify the following requirements for data management and manipulation:
* Order data is stored as non relational JSON and must be queried using Structured Query Language (SQL).
* Changes to the Order data must reflect immediately across all partitions. All reads to the Order data must fetch the most recent writes.
Security
You have the following security requirements:
* Users of Coho Winery applications must be able to provide access to documents, resources, and applications to external partners.
* External partners must use their own credentials and authenticate with their organization's identity management solution.
* External partner logins must be audited monthly for application use by a user account administrator to maintain company compliance.
* Storage of e-commerce application settings must be maintained in Azure Key Vault.
* E-commerce application sign-ins must be secured by using Azure App Service authentication and Azure Active Directory (AAD).
* Conditional access policies must be applied at the application level to protect company content.
* The LabelMaker application must be secured by using an AAD account that has full access to all namespaces of the Azure Kubernetes Service (AKS) cluster.
Label Maker app
Azure Monitor Container Health must be used to monitor the performance of workloads that are deployed to Kubernetes environments and hosted on Azure Kubernetes Service (AKS).
You must use Azure Container Registry to publish images that support the AKS deployment.
Architecture
Issues
Calls to the Printer API App fail periodically due to printer communication timeouts.
Printer communication timeouts occur after 10 seconds. The label printer must only receive up to 5 attempts within one minute.
The order workflow fails to run upon initial deployment to Azure.
Order.json
Relevant portions of the app fries are shown below Line numbers are induced for reference only. This JSON file contains a representation of the data for an order that includes a single item.
NEW QUESTION: 2
Overview:
Relecloud is a social media company that processes hundreds of millions of social media posts per day and sells advertisements to several hundred companies.
Relecloud has a Microsoft SQL Server database named DB1 that stores information about the advertisers.
DB1 is hosted on a Microsoft Azure virtual machine.
Relecloud has two main offices. The offices are located in San Francisco and New York City.
The offices connect to each other by using a site-to-site VPN. Each office connects directly to the Internet.
Relecloud modifies the pricing of its advertisements based on trending topics. Topics are considered to be trending if they generate many mentions in a specific country during a 15-minute time frame. The highest trending topics generate the highest advertising revenue.
Relecloud wants to deliver reports to the advertisers by using Microsoft Power BI. The reports will provide real-time data on trending topics, current advertising rates, and advertising costs for a given month.
Relecloud will analyze the trending topics data, and then store the data in a new data warehouse for ad- hoc analysis. The data warehouse is expected to grow at a rate of 1 GB per hour or 8.7 terabytes (TB) per year. The data will be retained for five years for the purpose of long-term trending.
Requirements:
Management at Relecloud must be able to view which topics are trending to adjust advertising rates in near real-time.
Relecloud plans to implement a new streaming analytics platform that will report on trending topics.
Relecloud plans to implement a data warehouse named DB2.
Relecloud identifies the following technical requirements:
Social media data must be analyzed to identify trending topics in real-time.
The use of Infrastructure as a Service (IaaS) platforms must minimized, whenever possible.
The real-time solution used to analyze the social media data must support scaling up and down without
service interruption.
Relecloud identifies the following technical requirements for the advertisers:
The advertisers must be able to see only their own data in the Power BI reports.
The advertisers must authenticate to Power BI by using Azure Active Directory (Azure AD) credentials.
The advertisers must be able to leverage existing Transact-SQL language knowledge when developing
the real-time streaming solution.
Members of the internal advertising sales team at Relecloud must be able to see only the sales date of
the advertisers to which they are assigned.
The internal Relecloud advertising sales team must be prevented from inserting, updating, and deleting
rows for the advertisers to which they are not assigned.
The internal Relecloud advertising sales team must be able to use a text file to update the list of
advertisers, and then to upload the file to Azure Blob storage.
Relecloud identifies the following requirements for DB1:
Data generated by the streaming analytics platform must be stored in DB1.
The user names of the advertisers must be mapped to CustomerID in a table named Table2.
The advertisers in DB1 must be stored in a table named Table1 and must be refreshed nightly.
The user names of the employees at Relecloud must be mapped to EmployeeID in a table named
Table3.
Relecloud identifies the following requirements for DB2:
DB2 must have minimal storage costs.
DB2 must run load processes in parallel.
DB2 must support massive parallel processing.
DB2 must be able to store more than 40 TB of data.
DB2 must support scaling up and down, as required.
Data from DB1 must be archived in DB2 for long-term storage.
All of the reports that are executed from DB2 must use aggregation.
Users must be able to pause DB2 when the data warehouse is not in use.
Users must be able to view previous versions of the data in DB2 by using aggregates.
Relecloud identifies the following requirements for extract, transformation, and load (ETL):
Data movement between DB1 and DB2 must occur each hour.
An email alert must be generated when a failure of any type occurs during ETL processing.
Sample code and data:
You execute the following code for a table named rls_table1.
You use the following code to create Table1.
create table table1
(customerid int,
salespersonid int
...
)
Go
The following is a sample of the streaming data.
Which technology should you recommend to meet the technical requirement for analyzing the social media data?
A. Azure Machine Learning
B. Azure Data Lake Analytics
C. Azure Stream Analytics
D. Azure HDInsight Storm clusters
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Azure Stream Analytics is a fully managed event-processing engine that lets you set up real-time analytic computations on streaming data.
Scalability
Stream Analytics can handle up to 1 GB of incoming data per second. Integration with Azure Event Hubs and Azure IoT Hub allows jobs to ingest millions of events per second coming from connected devices, clickstreams, and log files, to name a few. Using the partition feature of event hubs, you can partition computations into logical steps, each with the ability to be further partitioned to increase scalability.
From scenario: Relecloud identifies the following technical requirements:
Social media data must be analyzed to identify trending topics in real-time.
The use of Infrastructure as a Service (IaaS) platforms must minimized, whenever possible.
The real-time solution used to analyze the social media data must support scaling up and down without
service interruption.
Reference: https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-introduction
NEW QUESTION: 3
The organization structure should be replicated from the SAP HR system to SRM. What do you need to consider?
A. Changes made in SRM will be automatically synchronized with the ERP.
B. Filters for organizational units must be defined in the CRM Middleware.
C. Attributes in the organizational structure need to be maintained in SRM.
D. SU01 users will be created automatically in SRM from the replication.
Answer: C