AZ-220 Dumps Questions: Which Type Of Connected Device Is Placed On Objects To Track And Monitor Them?

The Microsoft Azure IoT Developer (AZ-220) Certification Exam is a specialized credential for professionals designing and implementing Internet of Things (IoT) solutions on Azure, validating skills in device connectivity, data processing, and IoT solution management. A key exam question, “Which type of connected device is placed on objects to track and monitor them?” identifies IoT sensors as the primary device type for tracking and monitoring. This topic is tested within

• Domain 1: Set up the IoT Solution Infrastructure (15–20%)
• Domain 2: Provision and Manage Devices (20–25%),

Covering IoT device types, connectivity, and Azure IoT services, essential for roles like IoT developers, cloud architects, and solution engineers.

The AZ-220 exam, lasting 120 minutes with 40–60 multiple-choice, case study, and lab-based questions, requires a passing score of 700 (on a 100–1000 scale). Study4Pass is a premier resource for AZ-220 preparation, offering comprehensive study guides, practice exams, and hands-on labs tailored to the exam syllabus. This article explores IoT sensors, their role in tracking and monitoring, their relevance to the AZ-220 exam, and strategic preparation tips using Study4Pass to excel in the Microsoft Azure IoT Developer certification.

Introduction: Connecting the Physical World to the Cloud

The IoT Revolution

The Internet of Things (IoT) is transforming industries by connecting physical objects to the digital world, enabling real-time data collection, analysis, and automation. From smart cities to industrial automation, IoT devices are at the heart of this revolution, with IoT sensors playing a pivotal role in tracking and monitoring objects. These tiny, connected devices—attached to assets like vehicles, machinery, or inventory—collect data on location, condition, or performance, transmitting it to cloud platforms like Microsoft Azure for actionable insights. Understanding IoT sensors is fundamental for Azure IoT developers, as they form the backbone of tracking and monitoring solutions.

Key Objectives:

• Real-Time Insights: Monitor assets to optimize operations (e.g., supply chain tracking).
• Automation: Enable data-driven decisions (e.g., predictive maintenance).
• Scalability: Support millions of devices in global IoT deployments.

For AZ-220 candidates, mastering IoT sensors is critical for designing Azure-based IoT solutions and passing the exam. Study4Pass provides detailed guides on IoT device types, supported by practice questions to reinforce these concepts.

Relevance to AZ-220 Exam

The AZ-220 exam tests IoT sensors in objectives like “Implement IoT device connectivity” and “Manage IoT device lifecycle.” Candidates must:

• Identify IoT sensors as the device type for tracking and monitoring.
• Understand their integration with Azure IoT services (e.g., IoT Hub, Device Provisioning Service).
• Apply knowledge to scenarios involving device deployment, data ingestion, or telemetry processing.

The question about tracking devices emphasizes their foundational role in IoT solutions. Study4Pass aligns its resources with these objectives, offering labs and practice exams that simulate real-world Azure IoT scenarios.

The Internet of Things (IoT): Bridging Physical and Digital Realms

What is IoT?

• Definition: IoT is a network of interconnected devices embedded with sensors, software, and connectivity to collect and exchange data over the internet.
• Components:

o   Devices: Sensors, actuators, or modules (e.g., Raspberry Pi, ESP32).

o   Connectivity: Protocols like MQTT, AMQP, or HTTPS.

o   Cloud Platforms: Azure IoT Hub, AWS IoT Core for data processing.

o   Applications: Dashboards, analytics, or automation systems.

• Purpose:

o   Monitor physical assets (e.g., temperature, location).

o   Automate processes (e.g., smart thermostats).

o   Drive insights (e.g., predictive analytics).

Role of Tracking and Monitoring

• Tracking: Determines an object’s location or movement (e.g., GPS sensors on delivery trucks).
• Monitoring: Measures an object’s condition or performance (e.g., temperature sensors in cold storage).
• Example: A logistics company uses IoT sensors to track shipment locations and monitor container temperatures, ensuring timely delivery and product quality.

AZ-220 Relevance: Questions may test IoT components or tracking use cases. Study4Pass guides detail IoT architectures, ensuring foundational knowledge.

Identifying the Tracking & Monitoring Device Type

The AZ-220 exam question asks for the type of connected device placed on objects to track and monitor them. The answer is:

IoT Sensors

• Definition: IoT sensors are compact devices attached to objects to collect data on physical properties (e.g., location, temperature, motion) and transmit it to a cloud platform for analysis.
• Characteristics:

o   Small Form Factor: Easily attached to assets (e.g., adhesive tags, embedded chips).

o   Connectivity: Supports Wi-Fi, Bluetooth, LoRaWAN, or cellular (e.g., 4G/5G).

o   Power Efficiency: Often battery-powered with low-energy protocols (e.g., BLE).

• Types:

o   Location Sensors: GPS, RFID for tracking (e.g., asset geolocation).

o   Environmental Sensors: Temperature, humidity, pressure (e.g., cold chain monitoring).

o   Motion Sensors: Accelerometers, gyroscopes (e.g., equipment vibration).

o   Proximity Sensors: Detect presence or distance (e.g., inventory counting).

• Example: A GPS sensor on a shipping container tracks its route, while a temperature sensor ensures perishable goods remain within safe ranges.

Exam Answer: The type of connected device for tracking and monitoring is IoT sensors. Study4Pass flashcards emphasize this device type, ensuring quick recall.

Anatomy and Function of Tracking & Monitoring IoT Sensors

Components of IoT Sensors

• Sensing Unit: Detects physical phenomena (e.g., thermistor for temperature).
• Microcontroller: Processes sensor data (e.g., Arduino, STM32).
• Communication Module: Transmits data via protocols (e.g., MQTT over Wi-Fi).
• Power Source: Battery or energy harvesting (e.g., solar, kinetic).
• Firmware: Software for device operation and data formatting.
• Example: A GPS sensor includes a GNSS module for location, an ESP32 microcontroller, a 4G modem, and a lithium battery.

Functionality

• Data Collection: Sensors measure parameters (e.g., latitude/longitude, humidity).
• Data Processing: Microcontrollers filter or aggregate data locally (e.g., averaging temperature readings).
• Data Transmission: Sends telemetry to Azure IoT Hub via secure protocols.
• Device Management: Supports remote updates and configuration via Azure Device Provisioning Service (DPS).
• Example: A motion sensor on a factory machine detects vibrations, sends alerts to Azure IoT Hub if thresholds are exceeded, and receives firmware updates via DPS.

Integration with Azure

• IoT Hub: Ingests sensor telemetry for real-time processing.
• Device Provisioning Service: Automates sensor onboarding at scale.
• Azure Stream Analytics: Analyzes sensor data for insights (e.g., anomaly detection).
• Example: A fleet of IoT sensors on delivery vans sends GPS data to IoT Hub, where Stream Analytics identifies optimal routes.

AZ-220 Relevance: Questions may test sensor components or Azure integration. Study4Pass's Dumps Exam Questions simulate sensor-to-cloud workflows, reinforcing practical skills.

Use Cases: Where These Devices Are Deployed

Logistics and Supply Chain

• Application: Track shipments and monitor conditions (e.g., temperature, humidity).
• Devices: GPS sensors, RFID tags, environmental sensors.
• Example: A pharmaceutical company uses IoT sensors to track vaccine shipments, ensuring cold chain compliance with Azure IoT Hub alerts.

Industrial IoT (IIoT)

• Application: Monitor equipment health and predict maintenance needs.
• Devices: Vibration sensors, temperature sensors.
• Example: A factory deploys vibration sensors on turbines, using Azure Machine Learning to predict failures, reducing downtime.

Smart Cities

• Application: Track assets like vehicles or monitor environmental conditions.
• Devices: GPS sensors, air quality sensors.
• Example: A city uses GPS sensors on buses to optimize routes, with data processed in Azure IoT Central for public transit apps.

Healthcare

• Application: Monitor patient equipment or track medical assets.
• Devices: Proximity sensors, temperature sensors.
• Example: A hospital uses RFID sensors to track surgical tools, ensuring availability with Azure IoT Hub dashboards.

Retail and Inventory Management

• Application: Monitor stock levels and track product movement.
• Devices: RFID sensors, proximity sensors.
• Example: A retailer uses RFID tags to track inventory in real-time, reducing stockouts with Azure Stream Analytics.

AZ-220 Relevance: Questions may involve use case scenarios or device selection. Study4Pass provides case studies to contextualize IoT applications.

Relevance to Microsoft AZ-220 Azure IoT Developer Exam

Exam Objectives

• Domain 1: Setting up IoT solution infrastructure, including device types.
• Domain 2: Provisioning and managing IoT devices like sensors.
• Question Types:

o   Multiple-choice: Identify IoT sensors for tracking/monitoring.

o   Lab-based: Configure sensor connectivity to IoT Hub.

o   Case study: Design a tracking solution with Azure services.

• Example Question: “Which type of device is used to track and monitor objects?” (Answer: IoT sensors).

Real-World Applications

• Device Deployment: Provisioning sensors for asset tracking in logistics.
• Data Processing: Analyzing sensor telemetry for predictive maintenance.
• Solution Design: Building end-to-end IoT systems with Azure services.
• Example: An IoT developer deploys temperature sensors in a warehouse, integrating with IoT Hub and Stream Analytics for real-time monitoring.

Azure IoT Focus

• Device Management: Tests provisioning and updating sensors.
• Connectivity: Emphasizes protocols like MQTT and AMQP.
• Analytics: Prioritizes processing sensor data for insights.
• Study4Pass labs simulate Azure IoT deployments, ensuring hands-on proficiency.

Azure Services Enabling Object Tracking & Monitoring (Briefly)

Azure IoT Hub

• Role: Central hub for bi-directional communication between sensors and Azure.
• Features:

o   Ingests telemetry from millions of sensors.

o   Supports device-to-cloud and cloud-to-device messaging.

o   Integrates with other Azure services (e.g., Stream Analytics).

• Example: GPS sensors send location data to IoT Hub, triggering alerts for off-route shipments.

Azure Device Provisioning Service (DPS)

• Role: Automates sensor registration and configuration at scale.
• Features:

o   Zero-touch provisioning for thousands of devices.

o   Supports secure attestation (e.g., TPM, X.509 certificates).

• Example: A fleet of RFID sensors is auto-provisioned to IoT Hub via DPS, streamlining deployment.

Azure Stream Analytics

• Role: Processes sensor data in real-time for insights and alerts.
• Features:

o   Analyzes telemetry with SQL-like queries.

o   Detects anomalies or triggers actions (e.g., notifications).

• Example: Stream Analytics monitors temperature sensor data, alerting for cold chain violations.

Azure IoT Central

• Role: Provides a SaaS platform for managing IoT solutions.
• Features:

o   Visualizes sensor data via dashboards.

o   Simplifies device management without coding.

• Example: A smart city uses IoT Central to monitor air quality sensors, displaying data for public access.

Azure Digital Twins

• Role: Models physical environments using sensor data.
• Features:

o   Creates digital replicas of assets (e.g., buildings, vehicles).

o   Integrates sensor data for real-time simulation.

• Example: Sensors on a factory machine feed data to Digital Twins, modeling performance for predictive maintenance.

AZ-220 Relevance: Questions may test Azure service integration with sensors. Study4Pass guides detail these services, with labs for practical application.

Applying Knowledge to AZ-220 Prep Questions

Scenario-Based Application

• Scenario: A logistics company needs to track and monitor perishable goods during transit.

o   Solution: Deploy IoT sensors (GPS, temperature) on containers, connecting to Azure IoT Hub for telemetry and Stream Analytics for alerts.

o   Outcome: Ensured product quality and timely delivery.

• AZ-220 Question: “Which device type and Azure service enable this solution?” (Answer: IoT sensors, IoT Hub).

Troubleshooting IoT Issues

• Issue 1: Sensor Data Not Reaching Cloud:

o   Cause: Incorrect MQTT configuration.

o   Solution: Verify sensor credentials and IoT Hub endpoint.

o   Tool: Azure IoT Explorer.

• Issue 2: Delayed Alerts:

o   Cause: Stream Analytics query misconfiguration.

o   Solution: Optimize query for real-time processing.

• Issue 3: Device Provisioning Failure:

o   Cause: Invalid DPS enrollment.

o   Solution: Update X.509 certificate in DPS.

• Example: An IoT developer fixes a sensor connectivity issue by correcting MQTT settings, enabling real-time tracking data to flow to IoT Hub.

Best Practices for IoT Solutions

• Device Selection: Choose sensors based on use case (e.g., GPS for tracking, temperature for monitoring).
• Secure Connectivity: Use TLS and X.509 certificates for sensor-to-cloud communication.
• Scalability: Leverage DPS for large-scale deployments.
• Data Optimization: Aggregate data locally to reduce bandwidth.
• Example: A developer designs a smart factory solution with vibration sensors, IoT Hub, and Digital Twins, ensuring scalability and security.

Study4Pass labs simulate these scenarios, ensuring practical expertise.

Bottom Line: The Starting Point for Azure IoT Development

The Microsoft Azure IoT Developer (AZ-220) certification equips professionals with skills to build IoT solutions, with IoT sensors—the devices for tracking and monitoring objects—as a critical topic in IoT Solution Infrastructure and Device Management. Understanding sensors, their Azure integration, and their use cases enables candidates to design scalable, secure IoT systems and excel in real-world deployments.

Study4Pass is the ultimate resource for AZ-220 preparation, offering study guides, practice exams, and hands-on labs that replicate Azure IoT environments. Its sensor-focused labs and scenario-based questions ensure candidates can configure devices, process telemetry, and troubleshoot issues confidently. With Study4Pass, aspiring IoT developers can ace the exam and launch rewarding careers, with salaries averaging $90,000–$130,000 annually (Glassdoor, 2025).

Exam Tips:

• Memorize IoT sensors as tracking/monitoring devices for multiple-choice questions.
• Practice sensor-to-IoT Hub connectivity in Study4Pass labs for lab-based tasks.
• Solve case studies to design IoT solutions.
• Review Azure IoT Hub and Stream Analytics for advanced questions.
• Complete timed 50-question practice tests to manage the 120-minute exam efficiently.

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Practice Questions from Microsoft AZ-220 Certification Exam

Which type of connected device is placed on objects to track and monitor them?

A. IoT actuators

B. IoT sensors

C. IoT gateways

D. IoT modules

A company tracks vehicles using IoT devices. Which Azure service ingests the telemetry data?

A. Azure Digital Twins

B. Azure IoT Hub

C. Azure Stream Analytics

D. Azure IoT Central

Which protocol is commonly used by IoT sensors to send tracking data to Azure IoT Hub?

A. FTP

B. MQTT

C. SMTP

D. SNMP

An IoT sensor fails to connect to Azure IoT Hub. What is a likely cause?

A. Incorrect SAS token

B. Missing Stream Analytics job

C. Invalid Digital Twin model

D. Disabled IoT Central dashboard

Which Azure service automates the provisioning of IoT sensors for tracking assets?

A. Azure Functions

B. Azure Device Provisioning Service

C. Azure Logic Apps

D. Azure Event Grid