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NEW QUESTION: 1
You need to design the data loading pipeline for Planning Assistance.
What should you recommend? To answer, drag the appropriate technologies to the correct locations. Each technology 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: SqlSink Table
Sensor data must be stored in a Cosmos DB named treydata in a collection named SensorData Box 2: Cosmos Bulk Loading Use Copy Activity in Azure Data Factory to copy data from and to Azure Cosmos DB (SQL API).
Scenario: Data from the Sensor Data collection will automatically be loaded into the Planning Assistance database once a week by using Azure Data Factory. You must be able to manually trigger the data load process.
Data used for Planning Assistance must be stored in a sharded Azure SQL Database.
References:
https://docs.microsoft.com/en-us/azure/data-factory/connector-azure-cosmos-db
Topic 2, Case study 1The company identifies the following business
requirements:
* External vendors must be able to perform custom analysis of data using machine learning technologies.
* You must display a dashboard on the operations status page that displays the following metrics: telemetry, volume, and processing latency.
* 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.
* Information about vehicles that have been detected as going over the speed limit during the last 30 minutes must be available to law enforcement officers. Several law enforcement organizations may respond to speeding vehicles.
* The solution must allow for searches of vehicle images by license plate to support law enforcement investigations. Searches must be able to be performed using a query language and must support fuzzy searches to compensate for license plate detection errors.
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
Visual Monitoring
The visual monitoring system is a network of approximately 1,000 cameras placed near highways that capture images of vehicle traffic every 2 seconds. The cameras record high resolution images. Each image is approximately 3 MB in size.
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 question on 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 sections 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 on 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 button to return to the question.
Overview
You develop data engineering solutions for Graphics Design Institute, a global media company with offices in New York City, Manchester, Singapore, and Melbourne.
The New York office hosts SQL Server databases that stores massive amounts of customer data. The company also stores millions of images on a physical server located in the New York office. More than 2 TB of image data is added each day. The images are transferred from customer devices to the server in New York.
Many images have been placed on this server in an unorganized manner, making it difficult for editors to search images. Images should automatically have object and color tags generated. The tags must be stored in a document database, and be queried by SQL You are hired to design a solution that can store, transform, and visualize customer data.
Requirements
Business
The company identifies the following business requirements:
* You must transfer all images and customer data to cloud storage and remove on-premises servers.
* You must develop an analytical processing solution for transforming customer data.
* You must develop an image object and color tagging solution.
* Capital expenditures must be minimized.
* Cloud resource costs must be minimized.
Technical
The solution has the following technical requirements:
* Tagging data must be uploaded to the cloud from the New York office location.
* Tagging data must be replicated to regions that are geographically close to company office locations.
* Image data must be stored in a single data store at minimum cost.
* Customer data must be analyzed using managed Spark clusters.
* Power BI must be used to visualize transformed customer data.
* All data must be backed up in case disaster recovery is required.
Security and optimization
All cloud data must be encrypted at rest and in transit. The solution must support:
* parallel processing of customer data
* hyper-scale storage of images
* global region data replication of processed image data
NEW QUESTION: 2
You need to support web and mobile application secure logons.
Which technology should you use?
A. Azure Active Directory B2C
B. Azure Active Directory B2B
C. OAuth 1.0
D. LDAP
Answer: A
Explanation:
Topic 6, Woodgrove Bank
Background
Overview
Woodgrove Bank has 20 regional offices and operates 1,500 branch office locations. Each regional office hosts the servers, infrastructure, and applications that support that region.
Woodgrove Bank plans to move all of their on-premises resources to Azure, including virtual machine (VM)-based, line-of-business workloads, and SQL databases. You are the owner of the Azure subscription that Woodgrove Bank is using. Your team is using Git repositories hosted on GitHub for source control.
Security
Currently, Woodgrove Bank's Computer Security Incident Response Team (CSIRT) has a problem investigating security issues due to the lack of security intelligence integrated with their current incident response tools. This lack of integration introduces a problem during the detection (too many false positives), assessment, and diagnose stages. You decide to use Azure Security Center to help address this problem.
Woodgrove Bank has several apps with regulated data such as Personally Identifiable Information (PII) that require a higher level of security. All apps are currently secured by using an on-premises Active Directory Domain Services (ADDS). The company depends on the following mission-critical apps: WGBLoanMaster, WGBLeaseLeader, and WGBCreditCruncher apps. You plan to move each of these apps to Azure as part of an app migration project.
Apps
The WGBLoanMaster app has been audited for transaction loss. Many transactions have been lost in processing and monetary write-offs have cost the bank. The app runs on two VMs that include several public endpoints.
The WGBLeaseLeader app has been audited for several data breaches. The app includes a SQL Server database and a web-based portal. The portal uses an ASP.NET Web API function to generate a monthly aggregate report from the database.
The WGBCreditCruncher app runs on a VM and is load balanced at the network level. The app includes several stateless components and must accommodate scaling of increased credit processing. The app runs on a nightly basis to process credit transactions that are batched during the day. The app includes a web-based portal where customers can check their credit information. A mobile version of the app allows users to upload check images.
Business Requirements
WGBLoanMaster app
The app audit revealed a need for zero transaction loss. The business is losing money due to the app losing and not processing loan information. In addition, transactions fail to process after running for a long time. The business has requested the aggregation processing to be scheduled for 01:00 to prevent system slowdown.
WGBLeaseLeader app
The app should be secured to stop data breaches. If the data is breached, it must not be readable. The app is continuing to see increased volume and the business does not want the issues presented in the WGBLoanMaster app. Transaction loss is unacceptable, and although the lease monetary amounts are smaller than loans, they are still an important profit center for Woodgrove Bank. The business would also like the monthly report to be automatically generated on the first of the month. Currently, a user must log in to the portal and click a button to generate the report.
WGBCreditCruncher app
The web-based portal area of the app must allow users to sign in with their Facebook credentials. The bank would like to allow this feature to enable more users to check their credit within the app.
Woodgrove Bank needs to develop a new financial risk modeling feature that they can include in the WGBCreditCruncher app. The financial risk modeling feature has not been developed due to costs associated with processing, transforming, and analyzing the large volumes of data that are collected. You need to find a way to implement parallel processing to ensure that the features run efficiently, reliably, and quickly. The feature must scale based on computing demand to process the large volumes of data and output several financial risk models.
Technical Requirements
WGBLoanMaster app
The app uses several compute-intensive tasks that create long-running requests to the system. The app is critical to the business and must be scalable to increased loan processing demands. The VMs that run the app include a Windows Task Scheduler task that aggregates loan information from the app to send to a third party. This task runs a console app on the VM.
The app requires a messaging system to handle transaction processing. The messaging system must meet the following requirements:
* Allow messages to reside in the queue for up to a month.
* Be able to publish and consume batches of messages.
* Allow full integration with the Windows Communication Foundation (WCF) communication stack.
* Provide a role-based access model to the queues, including different permissions for senders and receivers.
You develop an Azure Resource Manager (ARM) template to deploy the VMs used to support the app. The template must be deployed to a new resource group and you must validate your deployment settings before creating actual resources.
WGBLeaseLeader app
The app must use Azure SQL Databases as a replacement to the current Microsoft SQL Server environment. The monthly report must be automatically generated.
The app requires a messaging system to handle transaction processing. The messaging system must meet the following requirements:
* Require server-side logs of all of the transactions run against your queues.
* Track progress of a message within the queue.
* Process the messages within 7 days.
* Provide a differing timeout value per message.
WGBCreditCruncher app
The app must:
* Secure inbound and outbound traffic.
* Analyze inbound network traffic for vulnerabilities.
* Use an instance-level public IP and allow web traffic on port 443 only.
* Upgrade the portal to a Single Page Application (SPA) that uses JavaScript, Azure Active Directory (Azure AD), and the OAuth 2.0 implicit authorization grant to secure the Web API back end.
* Cache authentication and host the Web API back end using the Open Web Interface for .NET (OWIN) middleware.
* Immediately compress check images received from the mobile web app.
* Schedule processing of the batched credit transactions on a nightly basis.
* Provide parallel processing and scalable computing resources to output financial risk models.
* Use simultaneous computer nodes to enable high performance computing and updating of the financial risk models.
Key security area
NEW QUESTION: 3
What is the "Decision Table" in Business Rules in Process Cloud Service?
A. a range value set in a spreadsheet-like format that defines a list of allowed value ranges for the input and output data objects of a decision
B. a decision matrix that organizes if/then rules into a spreadsheet-like format, where rows represent conditions and actions, and columns match condition values to action alternatives
C. an if/then rule that has one or more conditions (if statements) that together are true or false, and one or more actions (then statements) that are applied if the conditions are true
D. a value set in a spreadsheet-like format that defines a list of allowed values for the input and output data objects of a decision
Answer: C
NEW QUESTION: 4
Universal containers want to track the full lifecycle of an installed product, including when a swap is needed as part of a service order.
Which steps technicians follow to report that a substitute asset is installed?
A. Mark installed asset as "obsolete"- create a new product - create a new asset of relationships type =" replacement"
B. Mark installed asset as "shipped" - create a new product - relate the product to the asset
C. Mark installed asset as "shipped" - create new assets - create a new asset of relationships type = "shipment"
D. Mark installed asset as "obsolete"- create a new product - related the product to asset
Answer: A
