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NEW QUESTION: 1
A company runs an IoT platform on AWS. IoT sensors in various locations send data to the company's Node.js API servers on Amazon EC2 instances running behind an Application Load Balancer. The data is stored in an Amazon RDS MySQL DB instance that uses a 4 TB General Purpose SSD volume. The number of sensors the company has deployed in the field has increased over time, and is expected to grow significantly. The API servers are consistently overloaded and RDS metrics show high write latency.
Which of the following steps together will resolve the issues permanently and enable growth as new sensors are provisioned, while keeping this platform cost-efficient? (Choose two.)
A. Leverage Amazon Kinesis Data Streams and AWS Lambda to ingest and process the raw data
B. Resize the MySQL General Purpose SSD storage to 6 TB to improve the volume's IOPS
C. Re-architect the database tier to use Amazon DynamoDB instead of an RDS MySQL DB instance
D. Re-architect the database tier to use Amazon Aurora instead of an RDS MySQL DB instance and add read replicas
E. Use AWS-X-Ray to analyze and debug application issues and add more API servers to match the load
Answer: A,C
Explanation:
A: 6TB will not resolve the issue permanently.
B: the issue in the question is writing issue. So why we need read replica!
C: Kinesis is always best for IoT and load.
D: does not make sense.
E: the question does not say anything about keeping the same DB architect! Dynamo is so scalable, for indefinitely solution.
NEW QUESTION: 2
You need to design the solution for the government planning department.
Which services should you include in the design?
A. Azure SQL Data Warehouse and Elastic Queries
B. Azure SQL Data Warehouse and Polybase
C. Azure SQL Database and Polybase
D. Azure SQL Database and Elastic Queries
Answer: B
Explanation:
PolyBase is a new feature in SQL Server 2016. It is used to query relational and non-relational databases (NoSQL) such as CSV files.
Scenario: Traffic data must be made available to the Government Planning Department for the purpose of modeling changes to the highway system. The traffic data will be used in conjunction with other data such as information about events such as sporting events, weather conditions, and population statistics. External data used during the modeling is stored in on-premises SQL Server 2016 databases and CSV files stored in an Azure Data Lake Storage Gen2 storage account.
Reference:
https://www.sqlshack.com/sql-server-2016-polybase-tutorial/
Topic 6, Litware Case
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 questions in 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 section 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 in 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.
Overview
Litware, Inc. owns and operates 300 convenience stores across the US. The company sells a variety of packaged foods and drinks, as well as a variety of prepared foods, such as sandwiches and pizzas.
Litware has a loyalty club whereby members can get daily discounts on specific items by providing their membership number at checkout.
Litware employs business analysts who prefer to analyze data by using Microsoft Power BI, and data scientists who prefer analyzing data in Azure Databricks notebooks.
Requirements. Business Goals
Litware wants to create a new analytics environment in Azure to meet the following requirements:
* See inventory levels across the stores. Data must be updated as close to real time as possible.
* Execute ad hoc analytical queries on historical data to identify whether the loyalty club discounts increase sales of the discounted products.
* Every four hours, notify store employees about how many prepared food items to produce based on historical demand from the sales data.
Requirements. Technical Requirements
Litware identifies the following technical requirements:
* Minimize the number of different Azure services needed to achieve the business goals
* Use platform as a service (PaaS) offerings whenever possible and avoid having to provision virtual machines that must be managed by Litware.
* Ensure that the analytical data store is accessible only to the company's on-premises network and Azure services.
* Use Azure Active Directory (Azure AD) authentication whenever possible.
* Use the principle of least privilege when designing security.
* Stage inventory data in Azure Data Lake Storage Gen2 before loading the data into the analytical data store. Litware wants to remove transient data from Data Lake Storage once the data is no longer in use. Files that have a modified date that is older than 14 days must be removed.
* Limit the business analysts' access to customer contact information, such as phone numbers, because this type of data is not analytically relevant.
* Ensure that you can quickly restore a copy of the analytical data store within one hour in the event of corruption or accidental deletion.
Requirements. Planned Environment
Litware plans to implement the following environment:
* The application development team will create an Azure event hub to receive real-time sales data, including store number, date, time, product ID, customer loyalty number, price, and discount amount, from the point of sale (POS) system and output the data to data storage in Azure.
* Customer data, including name, contact information, and loyalty number, comes from Salesforce and can be imported into Azure once every eight hours. Row modified dates are not trusted in the source table.
* Product data, including product ID, name, and category, comes from Salesforce and can be imported into Azure once every eight hours. Row modified dates are not trusted in the source table.
* Daily inventory data comes from a Microsoft SQL server located on a private network.
* Litware currently has 5 TB of historical sales data and 100 GB of customer data. The company expects approximately 100 GB of new data per month for the next year.
* Litware will build a custom application named FoodPrep to provide store employees with the calculation results of how many prepared food items to produce every four hours.
* Litware does not plan to implement Azure ExpressRoute or a VPN between the on-premises network and Azure.
NEW QUESTION: 3
Which statements regarding datastore clusters meets VMware's recommended best practices?
A. Clusters should contain only datastores with the same capacity.
B. Clusters should contain only datastores presented from the same storage array.
C. Clusters should contain only datastores using the same connection method (iSCSI, FC, etc.).
D. Clusters should contain only datastores with equal hardware acceleration capability.
Answer: D
NEW QUESTION: 4
あなたの会社には4つの事務所があります。各事業所はActive Directoryサイトとして構成されています。
9台のサーバーを含むExchange Server 2013組織があります。サーバーは、次の表に示すように構成されています。
User1という名前のユーザーは、D_Salesという名前の配布グループに属します。 User1のメールボックスは、MBX4上でアクティブなデータベース内にあり、拡張サーバーとしてMBX5を使用するように構成されています。
インターネットからD_Salesに送信されたEメールがCAS1によって受信され、その後MBX1からMBX4にルーティングされるようにする必要があります。
あなたは何をするべきか?
A. Site3をハブサイトとして構成します。
B. D_Salesの拡張サーバの設定を変更します。
C. MBX1のSubmissionServerOverrideListリストを変更します。
D. Site1をハブサイトとして構成します。
Answer: A
Explanation:
説明/参照:
Explanation:
メッセージは送信側メールボックスサーバートランスポートサービスから受信側メールボックスサーバートランスポートサービスにルーティングされるので、DLの拡張サーバー設定をMBX4に変更することは理にかなっていると思います。
このアクションにより、式からMBX5が削除されます。拡張サーバー設定を指定するとルーティング先として機能するため、電子メールがMBX1からMBX4にルーティングされるようになります。
すべての外部EメールがSite1のCAS1によって受信されると仮定すると、MBX1はトランスポートサービスを介して他のサイトの他のメールボックスサーバーにEメールをルーティングする責任があります。
ハブサイトを使用すると、そのハブサイトを使用するように構成されているサイトからのすべての電子メールトラフィックが影響を受けます。
質問では、すべてのトラフィックではなく、D_Salesに送信された電子メールを再ルーティングする必要があると述べています。
ハブサイト、ADサイトのコスト、またはインターネットに面したCASサーバーを備えたその他のサイトの必要性については言及されていません。
参考文献:
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