Serverless Computing using Cloud Functions – Developer I Cognitive Class Exam Quiz Answers

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Enroll Here: Serverless Computing using Cloud Functions – Developer I Cognitive Class Exam Quiz Answers

Serverless Computing using Cloud Functions – Developer I Cognitive Class Certification Answers

Module 1 – Serverless Essentials Quiz Answers – Cognitive Class

Question 1: What characteristics of serverless computing contribute to its name?

• Developers can run backend code to access databases without using servers.
• Serverless computing scales inherently to incoming events.
• Serverless computing does not use servers.
• Server management decisions are hidden from the developer.
• Serverless developers only need to configure the service framework for their chosen language.

Question 2: Serverless computing is a specific technology with a developed set of standards and practices.

• False
• True

Question 3: Serverless computing requires the developer to allocate servers and machine resources.

• False
• True

Question 4: Serverless computing scales inherently and executes stateless code in response to events.

• False
• True

Question 5: Isabelle decided to use serverless computing for a project that crops photos automatically when added to cloud storage. How would you critique her choice?

• Serverless is a great choice because it can flexibly react to incoming photos and crop them as needed.
• Serverless won’t work well here because it depends too much on how often customers will be uploading photos.
• Serverless may work well, but Isabelle will have to spend some time configuring servers to handle the infrequent uploads.
• Serverless is a great choice here because it allows Isabelle to manage the allocation of machine resources.

Question 6: You need to develop a project that is as cost-effective as possible. For which reasons would you pick serverless?

• Serverless outsourcing leads to less infrastructure, operational, and development costs.
• Serverless only charges for the time when code is executing.
• Serverless applications can run in low-cost, pre-allocated capacity you can purchase in advance.

Question 7: Long running and non-separable tasks are types of tasks that typically work well in a serverless environment.

• False
• True

Question 8: You are given the following graph of usage for an application you are developing. Which of the following is a correct conclusion of the graph?

• The usage is mostly sporadic, so serverless computing is a bad fit for this usage case.
• The usage is mostly sporadic, so serverless computing is a good fit for this usage case.
• The usage is mostly constant, so serverless computing would be a bad fit for this usage case.
• The usage is mostly constant, so serverless computing would be a good fit for this usage case.

Module 2 – Create and Invoke Action Quiz Answers – Cognitive Class

Question 1: If you were to execute the following command which invokes a Hello World action:

ibmcloud fn action invoke hello

it would return with an activation ID and an HTTP response generated by the function.

• False
• True

Question 2: When invoking actions, parameter values can be any valid JSON value, including nested objects.

• False
• True

Question 3: It is not possible to monitor activation logs in real time using the command line.

• False
• True

Question 4: It is impossible to perform a blocking invocation on an asynchronous action.

• False
• True

Question 5: If an action in the middle of a sequence fails, the platform will return the error after the last action in the sequence is invoked.

• False
• True

Module 3 – Manage Actions with Packages Quiz Answers – Cognitive Class

Question 1: You can invoke actions in public packages as if they were normal actions.

• False
• True

Question 2: You can provide default parameters to an action in a public package just as you would a normal action.

• False
• True

Question 3: If you bind a parameter value to a package, that value cannot be overridden on invocation.

• False
• True

Question 4: After creating a custom package as private, you can update the package to make it public.

• False
• True

Module 4 – Connect Actions to Event sources Quiz Answers – Cognitive Class

Question 1: What is a trigger?

• An API that invokes a function
• A network connection between an event source and a function
• A named channel for a class of events
• Event data that is sent to functions as key-value pairs

Question 2: What is the purpose of a rule?

• associates multiple triggers with a single action
• associates a single trigger with a single action
• associates a single trigger with multiple actions

Question 3: Rules allow you to define conditional logic that controls if an action gets invoked based upon event data.

• True
• False

Question 4: Multiple actions can be fired from a single trigger.

• Correct
• Incorrect

Module 5 – Expose Actions as APIs Quiz Answers – Cognitive Class

Question 1: Any action can be made accessible on the web by simply setting the flag –web to true.

• False
• True

Question 2: Functions that are web actions need to parse the raw HTTP request header to obtain query parameters.

• False
• True

Question 3: Which command would you use to retrieve the HTTP endpoint for a web action?

• ibmcloud fn api get <action_name> –url
• ibmcloud fn action get <action_name> –url
• ibmcloud fn api get <action_name> –http
• ibmcloud fn action get <action_name> –http

Question 4: If you have a web action that returns a JSON object, the caller must append .json to the web action’s URL to get a successful response.

• False
• True

Module 6 – Use the Web User Interface (web UI) Quiz Answers – Cognitive Class

Question 1: When using the ICF Web UI, you can accomplish almost everything you can using the CLI.

• False
• True

Question 2: The ICF Web UI provides access to logs and action metrics.

• False
• True

Serverless Computing using Cloud Functions – Developer I Final Exam Answers – Cognitive Class

Question 1: ICF scales your actions automatically only in response to event triggers.

• False
• True

Question 2: You are given the following graph of usage for an application you are developing. Which of the following is a correct conclusion of the graph?

• The usage is mostly sporadic, so serverless computing is a bad fit for this usage case.
• The usage is mostly sporadic, so serverless computing is a good fit for this usage case.
• The usage is mostly constant, so serverless computing would be a bad fit for this usage case.
• The usage is mostly constant, so serverless computing would be a good fit for this usage case.

Question 3: Tobias is trying to create an image recognition model for object analysis using large amounts of raw image data. Is serverless a good choice in helping with these tasks?

• Serverless may be a good choice in both dividing the data into manageable pieces as well as analyzing the data in parallel.
• Serverless won’t work well here because processing the large amount of raw data would be too costly.
• Serverless is not a good choice because Tobias would need dedicated servers that have the processing power for analytics.
• Serverless is a great choice here, but Tobias will have to configure his account to handle the amount of processing needed.

Question 4: Actions cannot directly invoke other actions without using a sequence.

• False
• True

Question 5: You are able to pass parameters when invoking an action using the command line directly or indirectly using a parameter file.

• False
• True

Question 6: If you have many packages of actions, you can better organize them by creating a package that contains several similar packages.

• False
• True

Question 7: Multiple triggers can be configured to fire the same action.

• Correct
• Incorrect

Question 8: It may be possible to construct a website entirely using serverless actions.

• False
• True

Question 9: If you wish to monitor your action invocations, you need to use the Web UI.

• False
• True

Introduction to Serverless Computing using Cloud Functions – Developer I

Serverless computing is a revolutionary paradigm in cloud computing that allows developers to focus solely on writing code without worrying about managing servers or infrastructure. One popular implementation of serverless computing is Cloud Functions, a service provided by various cloud platforms like Google Cloud Platform, Amazon Web Services, and Microsoft Azure.

Here’s an introduction to Serverless Computing using Cloud Functions:

1. What is Serverless Computing?: Serverless computing, also known as Function as a Service (FaaS), is a cloud computing model where cloud providers manage the infrastructure and automatically scale resources based on demand. Developers write functions, which are short-lived blocks of code, and the cloud provider executes these functions in response to triggers or events.
2. Benefits of Serverless Computing:
   • No server management: Developers don’t need to provision or manage servers. The cloud provider handles server maintenance, scaling, and availability.
   • Cost-effective: With serverless, you only pay for the compute resources used during function execution, rather than paying for idle server time.
   • Scalability: Serverless platforms automatically scale resources up or down based on incoming traffic or workload, ensuring optimal performance.
   • Focus on code: Developers can focus on writing code and building applications without worrying about underlying infrastructure concerns.
3. Introduction to Cloud Functions:
   • Cloud Functions are event-driven, serverless functions offered by cloud providers like Google Cloud Platform (Cloud Functions), Amazon Web Services (AWS Lambda), and Microsoft Azure (Azure Functions).
   • Cloud Functions are designed to respond to various events such as HTTP requests, database changes, file uploads, or messages from messaging systems.
   • Developers write functions in supported programming languages like JavaScript, Python, Go, or Java, and deploy them to the cloud provider’s platform.
4. Key Concepts:
   • Triggers: Triggers are events that invoke Cloud Functions. Examples include HTTP requests, changes in cloud storage, database updates, and pub/sub messages.
   • Function: A function is a piece of code that executes in response to a trigger. Functions are stateless and short-lived, typically handling a single task or operation.
   • Execution Environment: Cloud providers manage the execution environment where functions run. Functions are automatically scaled and executed in isolated environments.
   • Billing: Cloud Functions are billed based on the number of invocations, execution time, and resources consumed during execution.
5. Use Cases:
   • Web applications: Handling HTTP requests for serving dynamic content, processing form submissions, or implementing APIs.
   • Data processing: Processing and analyzing data from various sources, such as databases, streaming platforms, or file storage.
   • IoT applications: Handling events from IoT devices, processing sensor data, and triggering actions based on real-time events.
   • Backend services: Implementing backend logic for mobile apps, web apps, or microservices architectures.
6. Getting Started:
   • Choose a cloud provider that offers Cloud Functions (e.g., Google Cloud Platform, AWS, Azure).
   • Install the necessary development tools and SDKs provided by the cloud provider.
   • Write your functions using supported programming languages and deploy them to the cloud platform.
   • Configure triggers to invoke your functions based on events or triggers.

By leveraging Cloud Functions and serverless computing, developers can build scalable, cost-effective, and resilient applications without managing infrastructure, allowing them to focus on writing code and delivering value to their users.