Industrial IoT on Google Cloud Platform Coursera Quiz Answers

All Weeks Industrial IoT on Google Cloud Platform Coursera Quiz Answers

Learn Industrial Internet of Things on Google Cloud, Understand Google IoT Architecture, Implement a Dataflow from their device to BigQuery and Dataprep. Use Cloud IoT Core to create devices and authorization keys. Use BigQuery and Dataprep to analyze data.

It’s a well-designed course that will help you understand and use google cloud services such as bigquery, dataflow, IoT core, pub/sub. so that you can use IoT without caring for scaling your facilities as everything is on the cloud. Not only this in the last module you learn to prepare a live dashboard using pub/sub and dataflow.

This course is an excellent piece to learn industrial IoT on the google cloud platform it has helped me a lot in gaining insights into how automation takes place at the industrial level. This course provides excellent information for Industrial IoT on the Google Cloud Platform.

The course has a good number of Labs that give a practical perspective on how the data is ingested, processed, stored, analyzed, and reported. The course gives information about the various tools and resources s.a. Cloud IoT Core, Cloud Pub/Sub, Cloud Dataflow, Cloud Storage, Cloud Dataprep, and Google Data Studio. The videos and the readings are quite informative and help builds the overall IoT concepts.

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Industrial IoT on Google Cloud Platform Coursera Quiz Answers

Industrial IoT on Google Cloud Platform Week 1 and Week 2 Quiz Answers

Quiz-1: Internet of Things Use Cases

Q1. Take a moment to ponder some of the uses of IoT: predictive maintenance, industry safety solutions, building, and home automation, remote patient monitoring, asset tracking, and fraud detection.

  • All the use cases are gaining insights about an environment that cannot be obtained any other way.
  • All of these uses have a common theme that is the reason IoT is garnering so much attention. What is it?
  • All the use cases employ sensors in new and unique ways
  • All the use cases use machine learning or artificial intelligence, which is an incredibly fast growing field.

Q2. Why has IoT become so popular in the last few years?

  • Better cloud IoT architectures and integrated data analysis tools have led to more insights from IoT data.
  • Better sensor technology has led to better data gathering.
  • Better and more accessible ML and AI models have increased the need for IoT.

Q3. Which of the following characteristics are crucial for an IoT network? (Choose TWO)

  • An IoT network must be capable of scaling quickly.
  • An IoT network must be able to process and store data quickly.
  • An IoT network must be capable of doing machine learning at the device level.
  • An IoT device must use a gateway to connect to the cloud.

Quiz-2: IoT Networks

Q1. What are some of the functions that can be performed by an IoT gateway? Choose THREE.

  • To perform real-time analytics
  • To perform machine learning
  • To store data from devices for fast analysis on the Edge
  • To connect devices to the cloud.

Q2. What makes IoT data valuable?

  • Massive amounts of data is collected real time.
  • The data can give insights into real world situations.
  • The data can be collected and stored for future analysis
  • IoT data is valuable because it can be readily used in machine learning models.

Q3. A delivery company wants to add localization intelligence to its IoT network. It has 1000 drivers and trucks, but in the next few years, it wants to add self-driving trucks. 

As it is designing its network, what are some things it should keep in mind? Choose TWO.

  • Creating a communication bottleneck when adding the self driving trucks.
  • Increased storage needs of the self driving trucks
  • Connecting a new generation of devices into an existing IoT network.
  • Changing traffic patterns over time

Q4. An IoT network is used to predict electricity usage in a smart city. The network has one million devices sending data to the cloud. The network designers have added predictive usage to the network. This means, depending upon the usage predictions, the network will turn off air conditioning and lights in low-use buildings.

  • Move the prediction tasks from the cloud to the devices.
  • Increase the maximum capacity of the data processing inputs.
  • Use a fast storage option to quickly store data, then analyze it during non-peak times.
  • Initial tests of the network are showing the bottlenecks in data processing. What could the designers do to fix this problem?

Quiz-3: Ingest, Process, Analyze

Q1. You are designing an IoT network to monitor hallway activity at the local college. Whenever there is movement in the hallway, you will want to track it to determine lighting, temperature, and classroom use.

What assumption can you make while developing your network? Choose TWO.

  • Data will arrive in bursts with periods of low or no activity as well as periods of high activity.
  • Data will arrive at regular intervals with predictable periods
  • It will be easy to track individual student movements.
  • To train a model to predict activity, you will need data over several semesters.

Q2. You are designing an IoT network that monitors hallway activity in all schools in New York City.

What assumptions can you make while developing your network? Choose TWO.

  • Massive amounts of data need to be stored. The network needs inexpensive storage capacity with fast access to recent data as well as access to older data.
  • Due to the massive amounts of data that will flow during high activity times, the system needs to be designed to handle the maximum flow.
  • During periods of high activity, messages may come into the network at the same time, potentially leading to data loss. To prevent this you will need a system that can guarantee message delivery.

Q3. You have successfully designed an IoT network for a school district. You have also created a machine learning model that makes inferences about student activity in the hallways.

What considerations should you keep in mind as you deploy your network? Choose ALL that apply.

  • If the number of schools and students increases, it may be necessary to consider doing some of the data processing on the Edge, rather than in the cloud.
  • You will have to keep track of changes in the holiday schedules for the schools, as this can affect the ML model.
  • The machine learning model will need to be regularly trained with new data.

Quiz-4: Google Cloud IoT Characteristics

Q1. Why is being serverless an important characteristic of Cloud IoT?

  • Being serverless means the cloud network can expand and contract to meet the variable needs of IoT.
  • Being serverless means devices send all data to the cloud for processing and analysis.
  • Being serverless means the same sensors and devices must be used throughout the IoT network.

Q2. You are designing an IoT network of 1000 devices. It is critical to know when a device is offline. You want to know as soon as possible that a device is not communicating with the cloud.

What should you do to make this possible?

  • Write code that monitors the Details of each device, especially the Error and last Heartbeat. Then have it send notices to a dashboard when a device fails.
  • When creating the devices add the Stackdriver logging feature to the device. Set the monitoring at Error level to capture failed connection attempts and communication errors.
  • When creating the devices add the Stackdriver logging feature to the device. Set the monitoring at Debug level to capture failed connection attempts and communication errors.

Q3. Why would intelligence built-in with ML and AI capabilities be of great interest to IoT?

  • ML and AI can generate a lot of insights from IoT data, making that data more valuable.
  • Using ML and AI, developers can create interactive interfaces for IoT applications.
  • ML and AI are necessary for developing valuable data insights from IoT networks.

Q4. What are the advantages of ML on the Edge?

  • Doing ML on the Edge decreases latency
  • Doing ML on the Edge increases privacy by keeping data on the device.
  • Doing ML on the Edge means data must be stored on the device
  • Doing ML on the Edge means models can be bigger on local devices than on the cloud

Q5. You are designing an IoT network with 1000 devices located all over Tasmania. They will be in areas open to the public.

What security measures should you use to stop or minimize an attack?

  • Each device should have a unique authorization key.
  • Devices can share keys as long as there is a specified expiration date for the key.
  • Each device should have one unique key and one common key, to make updates easier.

Industrial IoT on Google Cloud Platform Week 3 Quiz Answers

Quiz-5: Choosing a Sensors

Q1. Given the following information about temperature sensors, answer the questions listed below.

  1. Negative Temperature Coefficient (NTC) thermistor

An NTC thermistor experiences such a large change in resistance per °C, small changes in temperature are reflected very fast and with high accuracy (0.05 to 1.5 °C). Because of its exponential nature, the output of an NTC thermistor requires linearization. The effective operating range is -50 to 250 °C for glass encapsulated thermistors or 150°C for standard.

2. Resistance Temperature Detector (RTD)

An RTD consists of a film or, for greater accuracy, a wire wrapped around a ceramic or glass core. The most accurate RTDs are made using platinum but lower-cost RTDs can be made from nickel or copper. However, nickel and copper are not as stable or repeatable. Platinum RTDs offer a fairly linear output that is highly accurate (0.1 to 1 °C) across -200 to 600 °C. While providing the greatest accuracy, RTDs also tend to be the most expensive of temperature sensors.

3. Thermocouple

This temperature sensor type consists of two wires of different metals connected at two points. The varying voltage between these two points reflects proportional changes in temperature. Thermocouples are nonlinear, requiring conversion when used for temperature control and compensation, typically accomplished using a lookup table. Accuracy is low, from 0.5 °C to 5 °C. However, they operate from -200 °C to 1750 °C.

4. Semiconductor-based sensors

A semiconductor-based temperature sensor is placed on integrated circuits (ICs). These sensors are effectively two identical diodes with temperature-sensitive voltage vs current characteristics that can be used to monitor changes in temperature. They offer a linear response but have the lowest accuracy of the basic sensor types at 1 °C to 5 °C. They also have the slowest responsiveness (5 s to 60 s) across the narrowest temperature range (-70 °C to 150 °C).

Information from Ametherm Thermistors

You are designing a new pottery kiln for tribal pottery. The maximum temperature in the kiln will be 1500F degrees.

Q1. Which of the temperature sensors listed above should you use in the kiln?

Thermocouple
⦁ RTD
⦁ Semiconductor-based
⦁ NTC

Q2.You are designing an appliance that counts the number of animals that use a tunnel to cross under a highway. The highway is in the desert and when the temperature inside the appliance goes over 100F you want a fan to turn on and cool the device.
Using the same information on sensors listed above, which sensor would be a good choice for this design?

  • RTD
  • Semiconductor-based
  • NTC
  • Thermocouple

Q3.You are designing an industrial oven for a production line. The oven must heat parts to a very precise temperature range. This means the oven temperature must remain between 500F and 510F.

  • RTD
  • NTC
  • Semiconductor-based
  • Thermocouple

Quiz-6: Sensors and Devices

Q1. You are designing an IoT system that measures a number of environmental factors in factory: light, temperature, oxygen levels, air particle levels, and humidity. You plan on placing sensors/devices in each room of the factory. For larger rooms, you will place more sensors/devices (up to 10 in the assembly area).

What format should you use to send the data to the cloud?

  • It depends on the situation, a case can be made for either option.
  • Send data for each device individually.
  • Send the data by room.

Q2. What are some tasks that you should consider carefully when designing an IIoT network?

  • Receiving telemetry data, sending device commands, updating devices.
  • Receiving telemetry data. Sending commands and updates happens so rarely, this is not a major concern in IoT network design.
  • Receiving telemetry data and sending commands. Updates happen so rarely, this is not a major concern in IoT network design

Q3. When designing an IIoT network, you need to think about the future. Check all the characteristics that will contribute to an agile network.

  • Use standard communication protocols that will make it easier to upgrade to new devices.
  • Use custom communication protocols that reduce latency and increase communication options.
  • The ability of the cloud side of the network to scale for streaming data.
  • The ability to pay just for what you use on a cloud network.

Quiz-7: MQTT and HTTP

Q1. Why would someone prefer MQTT over HTTP for IoT?

  • MQTT is data-centric as opposed to document-centric like HTTP.
  • MQTT is better than HTTP for resource constrained devices.
  • HTTP guarantees delivery of messages, MQTT does not.
  • MQTT enhances the whole IoT system because when one client is not working the rest of the system continues to work.

Q2. Which of the following are characteristics of MQTT?

  • MQTT includes the topic in the message.
  • Compared to HTTP, MQTT does not easily scale.
  • MQTT keeps the channel open even when messages are not being sent.

Q3. Which of the following are characteristics of HTTP?

  • HTTP is lighter weight than MQTT
  • Regardless of which communication protocol you choose HTTP or MQTT) Cloud IoT Core offers the same features.
  • HTTP requests first check recipient availability before sending a message.

Industrial IoT on Google Cloud Platform Week 4 Quiz Answers

Quiz-8: Pub/Sub

Q1. What is a topic?

  • A resource that accepts messages sent by publishers.
  • A resource that generates subscriptions for devices to connect to the cloud.
  • A resource that generates messages to send to subscribers.

Q2. What is a subscription?

  • A resource of streaming messages from a single topic.
  • A resource of streaming messages from multiple topics.
  • A resource of streaming messages that are sent to a publisher.

Q3.A topic can have _ publishers.

  • Many
  • One

Q4. How many topics can a subscriber subscribe to?

  • Many
  • One

Q5. What happens to messages if they cannot be delivered?

  • Messages that cannot be delivered must be sent again, leading to potential communication choke points.
  • Messages remain in the message store until they are delivered and acknowledged.
  • Messages remain in the message store until a user defined time, then they are no longer retained.

Quiz-9: Cloud IoT Core

Q1. What are the steps for connecting devices to Google Cloud Platform?

  • Create a registry, add a topic to it, and add the device.
  • Create a device, and add it to the registry.
  • Create a registry, add a device, and select a topic for the device.

Q2. On how many topics can a registry publish?

  • many
  • One

Q3. Which communication protocol can use Cloud IoT Core’s last known heartbeat?

  • MQTT
  • HTTP

Quiz-10: Google Cloud Storage

Q1. You are designing an IoT network and would like to store the streaming data on Google Cloud Storage. You’ll need to access the data several times when it first arrives, but then not at all after that. Which storage class should you use when creating the bucket.

  • Multi-regional for data for frequently accessed data. Coldline for long-term storage.
  • Coldline storage for all the data: frequently accessed and rarely accessed.
  • Regional for frequently accessed data. Nearline for long-term data storage.
  • Mutli-regional for frequently accessed data and long-term data storage.

Q2. Which of these statements is a characteristic of Google Cloud Storage.

  • Google Cloud Storage buckets must have globally unique names.
  • You can create a hierarchical folder structure in a bucket. You can also create a bucket inside a bucket.
  • When you create a bucket you assign it a storage class, which can never be changed
  • Data in Google Cloud Storage is encrypted with a Google-managed key.
  • Bucket permissions can be set to allow anyone on the internet access to the bucket.

Q3. You are designing a website to show streaming videos. Which Cloud Storage class would be best for the video content?

  • Multi-regional
  • Nearline
  • Cold-line

Quiz-11: Dataflow

Q1. Dataflow jobs can be created with Google-supplied templates. What are the steps for setting up a ‘Pub/Sub to GCS text’ pipeline?

  • Create a Pub/Sub topic, a storage bucket, select the Pub/Sub to GCS text template.

Q2. Which of the following statements is a characteristic of Dataflow?

  • Custom templates and Google-supplied templates use an environment that includes Apache Beam SDK.
  • You can create your own templates, use Google-supplied templates, or do a traditional job execution.

Industrial IoT on Google Cloud Platform Week 5 Quiz Answers

Quiz-12: Streaming Pipelines

Q1. You are creating a data pipeline to read data from Google Cloud Storage bucket files. You are going to query the data in BigQuery. Which type of Dataflow job is this?

  • streaming

Q2. You are using a Cloud Pub/Sub-to-GCS text template to create a Dataflow pipeline. What do you need to create this pipeline?

  • Cloud Pub/Sub topic, Device Registry, Google Cloud Storage bucket

Q3. You executed a Cloud Pub/Sub to Google Cloud Storage pipeline. The data is stored in a bucket called testing95129, inside a folder called streaming data.

Now that the Dataflow job is done, you would like to share this data with a coworker. How do you do this?

  • Set the permissions on each file in the streaming-data folder.

Industrial IoT on Google Cloud Platform Week 6 Quiz Answers

Quiz-13: BigQuery

Q1. You are designing an IIoT network to monitor crowd movements at a baseball stadium. When the average walking speed of the crowd drops below 1ft/second, additional gates will open.

You are sending the data from the gate sensors to BigQuery every minute. Which type of query should you use for this task?

  • Interactive query

Q2. You are using the Pub/Sub-to-BigQuery Dataflow template. In the schema for the BigQuery table, you mistype a field name. You type passenger instead of a passenger.

What will happen when you execute the Dataflow job?

  • The job will execute, but it will generate errors. The data for passengers will load into BigQuery.

Q3. You are running a lot of BigQuery queries for a home project. You look at your bill this month and it’s huge! How can you reduce your bill?

  • Use the Limit clause, only query what is necessary.

Industrial IoT on Google Cloud Platform Week 7 Quiz Answers

Quiz-14: Dataprep Lab

Q1. Which of the following are characteristics of Dataprep?

  • In Dataprep you can import data from GCS, BigQuery, or your local computer.

A colleague is designing an IoT network. They want to send data to Dataprep, modify the data and store the changed data on Dataprep for fast access during analysis.

They’ve asked for your advice. What do you say to them?

  • This won’t work, you can’t store data on Dataprep.

You are designing an IoT network to monitor robotic arms. The temperature in the environment you are monitoring remains fairly constant for long periods of time (usually for several weeks). Occasionally the temperature spikes very high.

You need to keep track of these spikes: how high, how long and how many, for each piece of equipment in the environment.

Which of these designs would best suit your network?

  • Store the data in a Multi-Regional Cloud Storage bucket. Then connect it to Dataprep and create a recipe to filter the data, looking for temperatures that fall outside the typical range.

Quiz-15:Data Studio Quiz

Q1. You are designing an IoT network. The network will monitor a colony of penguins in New Zealand. There are penguin researchers all over the world interested in this data.

Which of these designs is well suited to your needs?

  • Use Dataprep to clean the data, BigQuery to analyze it, and Data Studio to create a dashboard. Share the link on social media and set access to view reports and data.

Q2. You have an IoT network monitoring solar farms in a remote location. The telemetry data from the solar farm is the amount of sunlight and electricity produced. You also have a data set that contains information for each panel: panel_id, age, location of the panel, make, and model of the panel.

You’ve been asked to create a dashboard for the maintenance team. What information should be on it?

  • A map of the land with an interactive marker for each panel.
  • The average output of the panels
  • Alerts for low-performance panels

Q3. You are designing a dashboard for a flower delivery company in a large city. The dashboard will be used by the truck dispatchers, customer service representatives, and the truck driver manager.

What information should be on it?

  • An interactive map showing the location of each truck, in real-time.
  • Estimated time of delivery for each delivery. Possibly in the form of a list of deliveries.
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