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NEW QUESTION: 1
You are developing a solution using a Lambda architecture on Microsoft Azure.
The data at test layer must meet the following requirements:
Data storage:
* Serve as a repository (or high volumes of large files in various formats.
* Implement optimized storage for big data analytics workloads.
* Ensure that data can be organized using a hierarchical structure.
Batch processing:
* Use a managed solution for in-memory computation processing.
* Natively support Scala, Python, and R programming languages.
* Provide the ability to resize and terminate the cluster automatically.
Analytical data store:
* Support parallel processing.
* Use columnar storage.
* Support SQL-based languages.
You need to identify the correct technologies to build the Lambda architecture.
Which technologies should you use? To answer, select the appropriate options in the answer area
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Data storage: Azure Data Lake Store
A key mechanism that allows Azure Data Lake Storage Gen2 to provide file system performance at object storage scale and prices is the addition of a hierarchical namespace. This allows the collection of objects/files within an account to be organized into a hierarchy of directories and nested subdirectories in the same way that the file system on your computer is organized. With the hierarchical namespace enabled, a storage account becomes capable of providing the scalability and cost-effectiveness of object storage, with file system semantics that are familiar to analytics engines and frameworks.
Batch processing: HD Insight Spark
Aparch Spark is an open-source, parallel-processing framework that supports in-memory processing to boost the performance of big-data analysis applications.
HDInsight is a managed Hadoop service. Use it deploy and manage Hadoop clusters in Azure. For batch processing, you can use Spark, Hive, Hive LLAP, MapReduce.
Languages: R, Python, Java, Scala, SQL
Analytic data store: SQL Data Warehouse
SQL Data Warehouse is a cloud-based Enterprise Data Warehouse (EDW) that uses Massively Parallel Processing (MPP).
SQL Data Warehouse stores data into relational tables with columnar storage.
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-namespace
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-overview-what-is
NEW QUESTION: 2
DRAG DROP
Answer:
Explanation:
To create this credit risk assessment solution, we follow these steps:
*Create a Machine Learning workspace
*Upload existing data
*Create an experiment
*Train and evaluate the models
*Deploy the web service
*Access the web service
From scenario:
Predictive Routing:
* An Azure solution must be used for prediction systems.
* Predictive analytics must be published as a web service and accessible by using the REST API.
References: https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning- walkthrough-develop-predictive-solution Case Study: 6 Fourth Coffee Background You are the new cloud architect for Fourth Coffee. I he company hosts an on- premises ASP.NET MVC web application to allow online purchases and to support their retail store operations.
The new chief information officer (CIO) has announced several initiatives for the new year, including a new mobile application, online training for retail store employees, and moving the current web application and other services to the cloud.
The marketing team hopes to see an increase in the up-time for the web application. The team would also like to allow users to use social-Nogms in addition to the current username and password system.
Fourth Coffee has chosen Microsoft Azure to support their initiatives.
Current environment
In the Azure portal, you create an Azure Mobile App for the API. You create a Service Bus queue in Azure and install the Azure Storage SDK for Nodejs.
Problem statements
The mobile team attempts to use continuous deployment with the Azure App Service and the new API project. They receive the following error message: "Unable to access
'http://fourthcoffeeapi.azurewebsites.net/': Failed to connect to
https://fourthcoffeeapi.scm.azurewebsites.net/"
Business requirement
Web Application
*You must increase up-time for the application.
*The application must support additional regions and languages.
*Marketing must be able to validate the web application before updates to the application are published to the production environment.
Mobile
*The marketing team must be able to send frequent and timely updates to specific users and devices including Apple iPad. iPhone, Android. Windows, and Windows Phone devices.
*Users must be able to use their social accounts to sign in to the application. You must support Linkedln, Facebook and Google logons.
*The application must remain responsive, even during peak periods.
Training
Video streaming content must be made available and streamed to employee's browsers.
Training content must only include on-demand streaming. There will be no live content.
Technical requirement
Web Application
*You must update the deployment process to support cloud deployments.
*All data must be formatted as JSON during transport.
*You must implement Team Foundation Version Control (TFVC) as the version control system for the web application.
*Incoming messages to the API must be persisted to queue storage to ensure they are delivered and processed. You must restrict the size of messages between the mobile app and the API to no more than 5 gigabytes (GB).
*The web application must use geo-redundant replication.
Mobile
*You must use Node.js as a technology platform. You must support all mobile initiatives when possible.
*You must implement Git as the version control system for the mobile app.
*You must develop a REST API by using Node.js. Express, and MongoDB. You must use the Mobile Apps feature of the Azure App Service to host the API in Standard mode.
*You must implement the following Push Notification Services by using Azure Media Services:
*Apple Push Notification Service (APNS) for iPad and iPhone devices
*Google Cloud Messaging service (GCM) for Android devices
*Windows Notification Service (WNS) for Windows devices
*Microsoft Push Notification Service (MPNS) for Windows Phone devices
Security and Disaster Recovery
*You must integrate the on-premises Active Directory Domain Services with Azure Active Directory (Azure AD).
*You must implement the latest federated identity standards to provide authentication and authorization to applications.
*You must implement Multi-Factor Authentication.
*The web application and the API must be able to recover from a disaster.
Scaling
The web application and API must auto-scale according to the following rules:
*Scale up by one instance if CPU is above 70%.
*Scale down by one instance if CPU is below 50%.
Training
*Streaming must include Content Delivery Network (CDN)
capabilities to support global locations.
*Content must be encrypted and protected by using AES and
PlayReady.
*Streaming must include one gigabit (GB) per second of
dedicated egress capacity.
*All videos must use adaptive bitrate MP4 encoded content and
include a streaming manifest file
(.ism).
*You must support the following streaming formats for video files:
MPEG DASH, HI_S, Smooth Streaming, HDS. You must not need
to re-encode the content.
NEW QUESTION: 3
An SE is meeting with a prospect that is refreshing infrastructure in 100 retail locations. Currently the stores use vSphere hosts connected to direct attached storage and are managed by 6 separate vCenter servers. On-site retail staff is unqualified to deal with any hardware break/fix issues.
Which two aspects of Nutanix solution should the SE highlight? (Choose two)
A. Prism Central.
B. Cloud Connect.
C. Self-healing infrastructure.
D. Data Locality.
Answer: A,C
NEW QUESTION: 4
You need to recommend a licensing solution that supports the planned change to extend the server farm.
What should you recommend?
A. Purchase virtual machines that run Windows Server through Azure.
B. Purchase Microsoft Visual Studio Subscription licenses and run included software on Azure Virtual machines ("Base Instances").
C. Purchase Azure Virtual machines ("Base Instances"). Use existing Windows Server licenses that leverage the Azure Hybrid Benefit.
D. Purchase Azure Virtual Machines ("Base Instances"). Leverage the License Mobility Across Server Farms rights.
Answer: A
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