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NEW QUESTION: 1
製造会社が機械設備に予測メンテナンスを実装したい会社は、データをリアルタイムでAWSに送信する何千ものloTセンサーを設置しますソリューションアーキテクトは、各機械資産に対して順序付けられた方法でイベントを受信するソリューションの実装を任されています後で処理するためにデータが保存されていることを確認します。最も効率的なソリューションはどれですか。
A. 機器アセットごとにシャードを含むリアルタイムイベントにAmazon Kinesis Data Streamsを使用しますAmazon Kinesis Data Firehoseを使用してデータをAmazon EBSに保存します
B. リアルタイムイベントにAmazon SQS FIFOキューを使用し、機器アセットごとに1つのキューを使用して、SQSキューのAWS Lambda関数をトリガーしてデータをAmazon EFSに保存します
C. 各機器アセットのパーティションでリアルタイムイベントにAmazon Kinesis Data Streamsを使用しますAmazon Kinesis Data Firehoseを使用してデータをAmazon S3に保存します
D. リアルタイムイベントにAmazon SQS標準キューを使用し、機器アセットごとに1つのキューを使用して、SQSキューからAWS Lambda関数をトリガーしてデータをAmazon S3に保存します
Answer: B
Explanation:
Explanation
Amazon SQS Introduces FIFO Queues with Exactly-Once Processing and Lower Prices for Standard Queues You can now use Amazon Simple Queue Service (SQS) for applications that require messages to be processed in a strict sequence and exactly once using First-in, First-out (FIFO) queues. FIFO queues are designed to ensure that the order in which messages are sent and received is strictly preserved and that each message is processed exactly once.
Amazon SQS is a reliable and highly-scalable managed message queue service for storing messages in transit between application components. FIFO queues complement the existing Amazon SQS standard queues, which offer high throughput, best-effort ordering, and at-least-once delivery. FIFO queues have essentially the same features as standard queues, but provide the added benefits of supporting ordering and exactly-once processing. FIFO queues provide additional features that help prevent unintentional duplicates from being sent by message producers or from being received by message consumers. Additionally, message groups allow multiple separate ordered message streams within the same queue.
https://aws.amazon.com/about-aws/whats-new/2016/11/amazon-sqs-introduces-fifo-queues-with-exactly-once-pr
NEW QUESTION: 2
You develop an HTML5 application for a company. Employees must enter a personal identification number (PIN) in an INPUT element named SecurityCode to access their employee records.
The SecurityCode element must meet the following requirements:
Allow up to 6 digits.
Do not display numbers as they are entered.
Display the text Enter PIN Code before the user enters any data.
You need to implement the SecurityCode element.
Which HTML markup should you add to the application?
A. Option C
B. Option B
C. Option E
D. Option D
E. Option A
Answer: D
Explanation:
* Input Type: password
<input type="password"> defines a password field.
The characters in a password field are masked (shown as asterisks or circles).
* The placeholder attribute specifies a short hint that describes the expected value of an input field (e.g.
a sample value or a short description of the expected format).
The short hint is displayed in the input field before the user enters a value.
The placeholder attribute works with the following input types: text, search, url, tel, email, and password.
Reference: HTML Input Types ; HTML <input> placeholder Attribute
NEW QUESTION: 3
A. Option E
B. Option D
C. Option C
D. Option A
E. Option B
Answer: B,C,E
Explanation:
Explanation
These are two clusters, to replicate any VM to a cluster you need to configure the Replica Broker role on each cluster the last step should be enabling replication on the VMs.
NEW QUESTION: 4
Overview:
Litware, Inc. is a company that manufactures personal devices to track physical activity and other health- related data.
Litware has a health tracking application that sends health-related data from a user's personal device to Microsoft Azure.
Litware has three development and commercial offices. The offices are located in the United States, Luxembourg, and India.
Litware products are sold worldwide. Litware has commercial representatives in more than 80 countries.
Existing Environment:
In addition to using desktop computers in all of the offices, Litware recently started using Microsoft Azure resources and services for both development and operations.
Litware has an Azure Machine Learning solution.
Litware recently extended its platform to provide third-party companies with the ability to upload data from devices to Azure. The data can be aggregated across multiple devices to provide users with a comprehensive view of their global health activity.
While the upload from each device is small, potentially more than 100 million devices will upload data daily by using an Azure event hub.
Each health activity has a small amount of data, such as activity type, start date/time, and end date/time.
Each activity is limited to a total of 3 KB and includes a customer identification key.
In addition to the Litware health tracking application, the users' activities can be reported to Azure by using an open API.
The developers at Litware perform Machine Learning experiments to recommend an appropriate health activity based on the past three activities of a user.
The Litware developers train a model to recommend the best activity for a user based on the hour of the day.
Requirements:
Litware plans to extend the existing dashboard features so that health activities can be compared between the users based on age, gender, and geographic region.
Minimize the costs associated with transferring data from the event hub to Azure Storage.
Litware identifies the following technical requirements:
Data from the devices must be stored for three years in a format that enables the fast processing of
date fields and filtering.
The third-party companies must be able to use the Litware Machine Learning models to generate
recommendations to their users by using a third-party application.
Any changes to the health tracking application must ensure that the Litware developers can run the
experiments without interrupting or degrading the performance of the production environment.
Activity tracking data must be available to all of the Litware developers for experimentation. The developers must be prevented from accessing the private information of the users.
When the Litware health tracking application asks users how they feel, their responses must be reported to Azure.
You need to recommend a permanent Azure Storage solution for the activity data. The solution must meet the technical requirements.
What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
A. Azure SQL Database
B. Azure Event Hubs
C. Azure Blob storage
D. Azure Queue storage
Answer: A
Explanation:
Explanation/Reference:
Explanation:
From scenario: While the upload from each device is small, potentially more than 100 million devices will upload data daily by using an Azure event hub.
Each health activity has a small amount of data, such as activity type, start date/time, and end date/time.
Each activity is limited to a total of 3 KB and includes a customer identification key.