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Exam Number : AZ-220
Exam Name : Microsoft Azure IoT Developer
Vendor Name : Microsoft
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AZ-220 Exam Format | AZ-220 Course Contents | AZ-220 Course Outline | AZ-220 Exam Syllabus | AZ-220 Exam Objectives

The content of this exam will be updated on September 24, 2020. Please download the exam skills outline below to see what will be changing.

Implement the IoT solution infrastructure (15-20%)

Provision and manage devices (20-25%)

Implement Edge (15-20%)

Process and manage data (15-20%)

Monitor, troubleshoot, and optimize IoT solutions (15-20%)

Implement security (15-20%)

Implement the IoT Solution Infrastructure (15-20%)

Create and configure an IoT Hub

 create an IoT Hub

 register a device

 configure a device twin

 configure IoT Hub tier and scaling

Build device messaging and communication

 build messaging solutions by using SDKs (device and service)

 implement device-to-cloud communication

 implement cloud-to-device communication

 configure file upload for devices

Configure physical IoT devices

 recommend an appropriate protocol based on device specifications

 configure device networking, topology, and connectivity

Provision and manage devices (20-25%)

Implement the Device Provisioning Service (DPS)

 create a Device Provisioning Service

 create a new enrollment in DPS

 manage allocation policies by using Azure Functions

 link an IoT Hub to the DPS

Manage the device lifecycle

 provision a device by using DPS

 deprovision an autoenrollment

 decommission (disenroll) a device

Manage IoT devices by using IoT Hub

 manage devices list in the IoT Hub device registry

 modify device twin tags and properties

 trigger an action on a set of devices by using IoT Hub Jobs and Direct Methods

 set up Automatic Device Management of IoT devices at scale

Build a solution by using IoT Central

 define a device type in Azure IoT Central

 configure rules and actions in Azure IoT Central

 define the operator view

 add and manage devices from IoT Central

 monitor devices

 custom and industry-focused application templates

 monitor application health using metrics

Implement Edge (15-20%)

Set up and deploy an IoT Edge device

 create a device identity in IoT Hub

 deploy a single IoT device to IoT Edge

 create a deployment for IoT Edge devices

 install container runtime on IoT devices

 define and implement deployment manifest

 update security daemon and runtime

 provision IoT Edge devices with DPS

 IoT Edge automatic deployments

 deploy on constrained devices

 secure IoT Edge solutions

 deploy production certificates

Develop modules

 create and configure an Edge module

 deploy a module to an Edge device

 publish an IoT Edge module to an Azure Container Registry

Configure an IoT Edge device

 select and deploy an appropriate gateway pattern

 implement Industrial IoT solutions with modules like Modbus and OPC

 implement module-to-module communication

 implement and configure offline support (including local storage)

Process and manage data (15-20%)

Configure routing in Azure IoT Hub

 implement message enrichment in IoT Hub

 configure routing of IoT Device messages to endpoints

 define and test routing queries

 integrate with Event Grid

Configure stream processing

 create ASA for data and stream processing of IoT data

 process and filter IoT data by using Azure Functions

 configure Stream Analytics outputs

Configure an IoT solution for Time Series Insights (TSI)

 implement solutions to handle telemetry and time-stamped data

 create an Azure Time Series Insights (TSI) environment

 connect the IoT Hub and the Time Series Insights (TSI)

Monitor, troubleshoot, and optimize IoT solutions (15-20%)

Configure health monitoring

 configure metrics in IoT Hub

 set up diagnostics logs for Azure IoT Hub

 query and visualize tracing by using Azure Monitor

 use Azure Policy definitions for IoT Hub

Troubleshoot device communication

 establish maintenance communication

 verify device telemetry is received by IoT Hub

 validate device twin properties, tags and direct methods

 troubleshoot device disconnects and connects

Perform end-to-end solution testing and diagnostics

 estimate the capacity required for each service in the solution

 conduct performance and stress testing

Implement security (15-20%)

Implement device authentication in the IoT Hub

 choose an appropriate form of authentication

 manage the X.509 certificates for a device

 manage the symmetric keys for a device

Implement device security by using DPS

 configure different attestation mechanisms with DPS

 generate and manage x.509 certificates for IoT Devices

 configure enrollment with x.509 certificates

 generate a TPM endorsements key for a device

 configure enrollment with symmetric keys

Implement Azure Security Center (ASC) for IoT

 enable ASC for IoT in Azure IoT Hub

 create security modules

 configure custom alerts

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Microsoft test


Controversy arises as Microsoft, Google check AI search ads | Resources

A storm brews in the digital realm as Microsoft and Alphabet’s Google test with inserting advertisements into their synthetic Intelligence (AI) operations.

This new tactic, bereft of an opt-out function, has ruffled feathers across brands and sparked advantage backlash from the advert purchasing industry.

The Race of the Tech Titans

Microsoft and Google are in a sprint to infuse their search engines like google with advanced AI know-how in a position to producing written responses to open-ended inquiries.

This innovation may revolutionize the style advertisers reach consumers through search result advertisements, an trade projected to upward thrust with the aid of 10% and attain $286 billion in cost this yr, in accordance with research firm MAGNA.

Microsoft is trial-testing ads within its Bing AI chatbot, an activity initiated in February. Microsoft’s method comprises transposing some widely wide-spread search ads and integrating them into AI-produced responses.

Google, nonetheless, will exploit current search advertisements for an early-look at various function dubbed Search Generative adventure, as validated by using Jerry Dischler, Google’s usual supervisor of adverts.

each firms assert that their experiments with ads in generative AI are within the nascent stage and actively contain advertisers’ input and feedback.

Advertisers’ Reservations

however, these techniques have encountered skepticism. Advertisers are apprehensive about their advertising components being funneled into features that cater to a constrained user base.

In prevalent, advertisers demand authority over their ads’ online placements and are cautious about their advertisements being displayed alongside unsuitable content material.

Addressing these considerations, each Microsoft and Google assured that their existing search engine safeguards, together with lists of blocked keyword phrases, will observe to their AI search facets.

These protections are specifically important as each groups have closely invested in generative AI, making it essential to generate earnings from these materials.

Investments encompass Microsoft’s massive stake in OpenAI, the creator of ChatGPT, and Google’s $four hundred million investment in Anthropic, an OpenAI competitor.

Straining have faith

The unconsented use of brands for brand spanking new ad placement tests has strained advertiser relationships, with industry insiders describing the practice as non-normal.

This resulted in distinct colossal advertisers momentarily suspending their ad spending on Microsoft, including Wells Fargo, which has maintained some of its ad price range off Microsoft.

regardless of the backlash, Microsoft remains positive in regards to the introduction of latest Bing ad formats. Lynne Kjolso, Microsoft’s vice president of world accomplice and Retail Media, emphasized the goal of a “seamless” transition for advertisers.

The unfolding controversy underscores the broader tension between tech platforms offering potentially sophisticated AI solutions for advertisers and the ensuing loss of handle via these advertisers.

Some have expressed concerns in regards to the lack of transparency and accountability within the new programs, specifically surrounding how these AI-pushed techniques decide advert placements and the absence of clear reporting mechanisms.

in spite of the controversy, each Microsoft and Google remain dedicated to refining the mixing of AI of their advert placements. each tech giants are prioritizing the introduction of transparency reports, addressing the concerns of ad groups.

Their commitment additionally extends to organising controls to avoid advertisements from appearing alongside inaccurate or ‘hallucination’ AI responses.

the realm watches as the drama unfolds, marking a big milestone in the development and integration of AI into our daily digital interactions.


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