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NEW QUESTION: 1
会社は、ユーザーがアップロードしたドキュメントをAmazon EBSボリュームに格納する単一のAmazon EC2インスタンスを使用してAWSでウェブアプリケーションをホストしています。スケーラビリティと可用性を高めるために、会社はアーキテクチャを複製し、別のEC2インスタンスとEBSボリュームを別のアベイラビリティゾーンに作成しました。両方をApplication Load Balancerの背後に配置するこの変更を完了した後、ユーザーは、Webサイトを更新するたびに、ドキュメントの一部または他のサブセットを同時に表示できるが、すべてのドキュメントを同時に表示することはできないと報告しました。すべてのドキュメントを一度に表示しますか？
A. Configure the Application Load Balancer to send the request to both servers Return each document from the correct server
B. Copy the data from both EBS volumes to Amazon EFS Modify the application to save new documents to Amazon EFS
C. Copy the data so both EBS volumes contain all the documents
D. Configure the Application Load Balancer to direct a user to the server with the documents
Answer: B
Explanation:
Explanation
https://docs.aws.amazon.com/efs/latest/ug/how-it-works.html#how-it-works-ec2 Amazon EFS provides file storage in the AWS Cloud. With Amazon EFS, you can create a file system, mount the file system on an Amazon EC2 instance, and then read and write data to and from your file system. You can mount an Amazon EFS file system in your VPC, through the Network File System versions 4.0 and 4.1 (NFSv4) protocol. We recommend using a current generation Linux NFSv4.1 client, such as those found in the latest Amazon Linux, Redhat, and Ubuntu AMIs, in conjunction with the Amazon EFS Mount Helper. For instructions, see Using the amazon-efs-utils Tools.
For a list of Amazon EC2 Linux Amazon Machine Images (AMIs) that support this protocol, see NFS Support. For some AMIs, you'll need to install an NFS client to mount your file system on your Amazon EC2 instance. For instructions, see Installing the NFS Client.
You can access your Amazon EFS file system concurrently from multiple NFS clients, so applications that scale beyond a single connection can access a file system. Amazon EC2 instances running in multiple Availability Zones within the same AWS Region can access the file system, so that many users can access and share a common data source.
How Amazon EFS Works with Amazon EC2

https://docs.aws.amazon.com/efs/latest/ug/how-it-works.html#how-it-works-ec2

NEW QUESTION: 2
You need to design the storage for the telemetry capture system.
What storage solution should you use in the design?
A. Azure Databricks
B. Azure Cosmos DB
C. Azure SQL Data Warehouse
Answer: B
Explanation:
Azure Cosmos DB is a globally distributed database service. You can associate any number of Azure regions with your Azure Cosmos account and your data is automatically and transparently replicated.
Scenario:
Telemetry Capture
The telemetry capture system records each time a vehicle passes in front of a sensor. The sensors run on a custom embedded operating system and record the following telemetry data:
Time
Location in latitude and longitude
Speed in kilometers per hour (kmph)
Length of vehicle in meters
You must write all telemetry data to the closest Azure region. The sensors used for the telemetry capture system have a small amount of memory available and so must write data as quickly as possible to avoid losing telemetry data.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/regional-presence
Topic 6, Litware Case
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
When upgrading a Steelhead appliance from the Management Console, the new image is always installed on the:
A. Booted partition
B. Both the boot and backup partitions
C. The image is only installed into a partition after a reboot (from a temporary location)
D. Upgrades can only be done from the CLI
E. Backup partition
Answer: E