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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
You enter the following code into the formula script editor: MEMBERSET[d/Account]= What does the auto-complete feature return? Note: There are 2 correct Answers to this question.
A. Hierarchies
B. Properties
C. Parameters
D. Members
Answer: C,D

NEW QUESTION: 3
You need to add code at line EG15 in EventGridController.cs to ensure that the Log policy applies to all services.
How should you complete the code? To answer, drag the appropriate code segments to the correct locations. Each code segment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: Status
Box 2: Succeded
Box 3: operationName
Scenario: Policy service
You develop and deploy a stateful ASP.NET Core 2.1 web application named Policy service to an Azure App Service Web App. The application reacts to events from Azure Event Grid and performs policy actions based on those events.
The application must include the Event Grid Event ID field in all Application Insights telemetry.
Topic 4, Chatbot
Background
Best for You Organics Company is a global restaurant franchise that has multiple locations. The company wants to enhance user experiences and vendor integrations. The company plans to implement automated mobile ordering and delivery services.
Best For You Organics hosts an Azure web app at the URL https://www.bestforyouorganics.com.
Users can use the web app to browse restaurant locations, menu items, nutritional, information, and company information. The company developed and deployed a cross-platform mobile app.
Requirements
You must develop a chartbot by using the Bot Builder SDK and Language Understanding Intelligence Service (LUIS). The chatbot must allow users to order food for pickup or delivery.
The chatbot must meet the following requirements:
Ensure that chatbot endpoint can be accessed only by the Bot Framework connector.
Use natural language processing and speech recognition so that users can interact with the chatbot by using text and voice. Processing must be server-based.
Alert users about promotions at local restaurants.
Enable users to place an order for delivery or pickup by using their voice.
Greet the user upon sigh-in by displaying a graphical interface that contains action buttons.
The chatbot greeting interface must match the formatting of the following example:

APIs must meet the following conditions:
API usage must not exceed 5,000 calls and 50,000 kilobytes of bandwidth per hour per vendor.
If a vendor is nearing the number of calls or bandwidth limit, the API must trigger email notifications to the vendor.
APIs must prevent API usage spikes on a per-subscription basis by limiting the call rate to 100 calls per minute.
The Inventory API must be written by using ASP.NET Core and Node.js.
The API must be updated to provide an interface to Azure SQL Database. Database objects must be managed by using code.
The Delivery API must be protected by using the OAuth 2.0 protocol with Azure Active Directory (Azure AD) when called from the Azure web app. You register the Delivery API and web app in Azure AD. You enable OAuth 2.0 in the web app.
The delivery API must update the Products table, the Vendor transactions table, and the Billing table in a single transaction.
The Best For You Organics Company architecture team has created the following diagram depicting the expected deployments into Azure:

Delivery API
The Delivery API intermittently throws the following exception:

Chatbot greeting
The chatbot's greeting does not show the user's name. You need to debug the chatbot locally.
Language processing
Users report that the bot fails to understand when a customer attempts to order dishes that use Italian names.
Relevant portions of the app files are shown below. Line numbers are included for reference only and include a two-character prefix that denotes the specific file to which they belong.
Startup.cs