Microsoft AZ-303 : Microsoft Azure Architect Technologies Exam Dumps

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Exam Number : AZ-303
Exam Name : Microsoft Azure Architect Technologies
Vendor Name : Microsoft
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AZ-303 Exam Format | AZ-303 Course Contents | AZ-303 Course Outline | AZ-303 Exam Syllabus | AZ-303 Exam Objectives

EXAM NUMBER : AZ-303

EXAM NAME : Microsoft Azure Architect Technologies

Candidates for this exam should have subject matter expertise in designing and implementing solutions that run on Microsoft Azure, including aspects like compute, network, storage, and security. Candidates should have intermediate-level skills for administering Azure. Candidates should understand Azure development and DevOps processes.

Responsibilities for an Azure Solution Architect include advising stakeholders and translating business requirements into secure, scalable, and reliable cloud solutions.

An Azure Solution Architect partners with cloud administrators, cloud DBAs, and clients to implement solutions.

A candidate for this exam should have advanced experience and knowledge of IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platform, budgeting, and governance–this role should manage how decisions in each area affect an overall solution. In addition, this role should have expert-level skills in Azure administration and have experience with Azure development and DevOps processes.

- Implement and monitor an Azure infrastructure (50-55%)

- Implement management and security solutions (25-30%)

- Implement solutions for apps (10-15%)

- Implement and manage data platforms (10-15%)

Implement and Monitor an Azure Infrastructure (50-55%)

Implement cloud infrastructure monitoring

 monitor security

 monitor performance

 monitor health and availability

 monitor cost

 configure advanced logging

 configure logging for workloads initiate automated responses by using Action Groups

 configure and manage advanced alerts Implement storage accounts

 select storage account options based on a use case

 configure Azure Files and blob storage

 configure network access to the storage account

 implement Shared Access Signatures and access policies

 implement Azure AD authentication for storage

 manage access keys

 implement Azure storage replication

 implement Azure storage account failover

Implement VMs for Windows and Linux

 configure High Availability

 configure storage for VMs

 select virtual machine size

 implement Azure Dedicated Hosts

 deploy and configure scale sets

 configure Azure Disk Encryption

Automate deployment and configuration of resources

 save a deployment as an Azure Resource Manager template

 modify Azure Resource Manager template

 evaluate location of new resources

 configure a virtual disk template

 deploy from a template

 manage a template library

 create and execute an automation runbook

Implement virtual networking

 implement VNet to VNet connections

 implement VNet peering

Implement Azure Active Directory

 add custom domains

 configure Azure AD Identity Protection

 implement self-service password reset

 implement Conditional Access including MFA

 configure user accounts for MFA

 configure fraud alerts

 configure bypass options

 configure Trusted IPs

 configure verification methods

 implement and manage guest accounts

 manage multiple directories

Implement and manage hybrid identities

 install and configure Azure AD Connect

 identity synchronization options

 configure and manage password sync and password writeback

 configure single sign-on

 use Azure AD Connect Health

Implement Management and Security Solutions (25-30%)

Manage workloads in Azure

 migrate workloads using Azure Migrate

 implement Azure Backup for VMs

 implement disaster recovery

 implement Azure Update Management

Implement load balancing and network security

 implement Azure Load Balancer

 implement an application gateway

 implement a Web Application Firewall

 implement Azure Firewall

 implement Azure Firewall Manager

 implement the Azure Front Door Service

 implement Azure Traffic Manager

 implement Network Security Groups and Application Security Groups

 implement Bastion

Implement and manage Azure governance solutions

 create and manage hierarchical structure that contains management groups,subscriptions and resource groups

 assign RBAC roles

 create a custom RBAC role

 configure access to Azure resources by assigning roles

 configure management access to Azure

 interpret effective permissions

 set up and perform an access review

 implement and configure an Azure Policy

 implement and configure an Azure Blueprint

Manage security for applications

 implement and configure KeyVault

 implement and configure Managed Identities

 register and manage applications in Azure AD

Implement Solutions for Apps (10-15%)

Implement an application infrastructure

 create and configure Azure App Service

 create an App Service Web App for Containers

 create and configure an App Service plan

 configure an App Service

 configure networking for an App Service

 create and manage deployment slots

 implement Logic Apps

 implement Azure Functions

Implement container-based applications

 create a container image

 configure Azure Kubernetes Service

 publish and automate image deployment to the Azure Container Registry

 publish a solution on an Azure Container Instance

Implement and Manage Data Platforms (10-15%)

Implement NoSQL databases

 configure storage account tables

 select appropriate CosmosDB APIs

 set up replicas in CosmosDB

Implement Azure SQL databases

 configure Azure SQL database settings

 implement Azure SQL Database managed instances

 configure HA for an Azure SQL database

 publish an Azure SQL database

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Microsoft Azure Exam Questions

NBA CourtOptix Powered by Microsoft Azure delivers next-generation insights to fans

In an effort to provide fans from around the world the basketball knowledge and highlights they desire, the NBA has delivered a wide array of advanced metrics, play type breakdowns, player tracking data, detailed shot charts, hustle stats and video box scores allowing fans to watch any play from any game.

That is a lot of information to process even for the most die-hard hoops junkie. Now thanks to a partnership with Microsoft, the NBA is taking the next step to deliver powerful insights to fans with NBA CourtOptix Powered by Microsoft Azure, a new platform highlighting next-generation metrics to fans. These metrics are derived by utilizing the Microsoft Azure platform and its AI (Artificial Intelligence) and ML (Machine Learning) capabilities to track and analyze action on the court and generate insights behind every shot, pass and play.

#NBACourtOptix powered by Microsoft Azure debuted on the NBA’s social channels this season, delivering a series of posts marrying data with on-court game highlights to bring the X’s and O’s of player tracking data to life. The Eye Test vs. Analytics debate when it comes to basketball analysis has been raging for years. Now with NBA CourtOptix Powered by Microsoft Azure, the data and the video complement one another to provide a more thorough breakdown of the game.

Expected Shot Value

The NBA has long been called a make or miss league — with ESPN’s The Jump turning the phrase into a daily segment of their show — but of course things are not that simple. There is a wealth of data that goes into what makes those shots makes or misses — everything from defensive pressure and proximity, location of the shot attempt, whether the shot is a pull-up or catch-and-shoot.

NBA CourtOptix Powered by Microsoft Azure features players’ expected shot value on any potential shot attempt — often showing how each specific player compares to the league average when facing the same circumstances.

Double Teams

Which players garner the most attention from opposing defenses when they have the ball? How many times are they double teamed each game, and for how long? And what does the offensive player do when an extra defender comes his way — pass, dribble or shoot?

What is the result of the possession when a player is double teamed — a basket by the player, a basket by a teammate, a turnover, a missed shot?

All these questions can be answered with NBA CourtOptix Powered by Microsoft Azure. And as you can see from the video below, Stephen Curry is very familiar with double teams and knows how to create shots either for himself or his teammates when an extra defender comes his way.

Passing Leaders

Throughout the season, NBA CourtOptix Powered by Microsoft Azure will feature different types of passes — outlet, pass ahead, ball reversal, draw-and-kick — but can look at the distance traveled, trajectory and accuracy of those passes as well.

It goes beyond which players make the most passes or accumulate the most assists. How good of a shot opportunity (going back to Expected Shot Value) are these passes creating for the recipient of the pass?

In the example below, we see that LeBron James and Luka Doncic are two of the best at creating wide-open 3-point attempts for their teammates — passes so good that their teammate is able to catch and shoot the ball before a defender can get within six feet of them during the shot attempt.

Top Sprints

Thanks to player tracking data, we can measure the average speed and distance traveled of all players while they are on the court. But what was missing was looking at a player’s top burst of speed at any given moment in a game.

NBA CourtOptix Powered by Microsoft Azure helps find a player’s top speed — including when it happened in the game and what game situation brought about that burst of speed. Was it a fast break on offense (see below for Zion Williamson moving quick to get a dunk in transition) or perhaps a chase down on defense?

Learning a player’s top sprint speed and the game situation that generated that burst from them adds another dimension to the analysis of player’s movement while on the court.

Shooting Efficiency by Shot Type

When it comes to discussing the best shooters in the game, there are so many different types of shots to consider. We can look at catch-and-shoots, pull-ups, step-backs and fadeaways. We can look at shot distance — at the rim, in the paint, mid-range, corner 3s, above the break 3s, deep 3s.

We can look at defensive proximity to see which players are at their best when wide open compared to when there is someone in their airspace. And we can look at all of these different types of shots based on game situation and time. Which players are at their best at the beginning of games? Which players see their shooting percentages rise when the game is on the line?

Be sure to follow the #NBACourtOptix hashtag across NBA social channels to see more insights from the NBA all season long.

Microsoft and Cerence Drive Innovation with New AI Car Experience

No result found, try new keyword!Cerence Inc (NASDAQ: CRNC) has announced a collaboration with Microsoft Corp (NASDAQ: MSFT) to enhance in-vehicle experiences by integrating Cerence's automotive technology with Microsoft Azure AI ...

GEA launches custom AI chatbot

GEA has launched a custom AI chatbot throughout the company based on Open AI’s ChatGPT application through Microsoft Azure OpenAI Service.

GEA BetterBot AI was developed in-house and trained on current GEA data. It enables GEA employees to retrieve publicly available information relating to the company that is relevant to them in a matter of seconds. The proprietary tool is securely operated in a private cloud environment in Microsoft’s data centers, so that no confidential data or entries are leaked.

Christian Niederhagemann, GEA’s chief information officer, said: “In the space of just a few months, we developed an internal GEA chatbot, which has the potential to enhance our work through productivity and efficiency gains as well as time savings. This puts us among the pioneers in our industry, helping to shape digital progress.”

An interdisciplinary team is responsible for developing GEA’s in-house AI tool. The alpha version has already been tested by 500 employees worldwide, with their feedback now factored into the tool’s ongoing refinement. Another 1,200 employees have signed up for the beta test phase, which is already underway. This will help customize the tool even more closely in line with GEA’s needs and requirements.

“Using GEA BetterBot AI opens up significant possibilities for working more efficiently,” added Niederhagemann. “The chatbot can, for instance, be used by employees to provide swifter responses to customer service inquiries, receive support with job advertisements and request market intelligence data, or for social media and marketing activities.”

GEA BetterBot AI is continuously being fine-tuned and, in the future will be capable of responding to questions on a wide range of topics in different languages. Global rollout is scheduled for the first quarter of 2024.

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