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Google Cloud Automation Techniques

Google Cloud Automation Techniques

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Questions and Answers

Which of the following components is responsible for initiating the workflow execution based on a pre-defined schedule?

Cloud Scheduler (correct)
Workflow Invocations
YAML Config
Dataform

Which Google Cloud service is best suited for handling event-driven execution of workloads?

Cloud Composer
Eventarc (correct)
Cloud Scheduler
Cloud Run functions (correct)

When would you typically choose Cloud Composer over Cloud Scheduler for automating your workloads?

When you need to execute tasks at specific recurring intervals.
When you need to trigger actions based on events like changes in data or external triggers.
When your workflow requires complex orchestration and coordination of multiple steps. (correct)
When you need to invoke workloads using HTTP/S calls.

Which of the following is NOT a valid trigger mechanism for Cloud Scheduler?

<p>Cloud Functions invocations (A)</p> Signup and view all the answers

What is a key difference between Cloud Run functions and Eventarc in terms of their functionality?

<p>Cloud Run functions handle only HTTP-based events, while Eventarc can handle various event types. (D)</p> Signup and view all the answers

Which Google Cloud service provides the flexibility to define a specific frequency and time of day for task execution?

<p>Cloud Scheduler (C)</p> Signup and view all the answers

Which of the following statements about Cloud Scheduler is FALSE?

<p>It can be used to trigger complex workflows. (D)</p> Signup and view all the answers

What is the most appropriate service in Google Cloud for building and managing complex workflows that involve multiple services and dependencies?

<p>Cloud Composer (C)</p> Signup and view all the answers

Which Google Cloud service is primarily designed for event-driven workloads and is particularly well-suited for use cases involving handling large volumes of events?

<p>Eventarc (D)</p> Signup and view all the answers

Which of the following best describes the concept of "Infrequent Execution" in the context of Eventarc?

<p>Eventarc events that are triggered by events that occur infrequently. (D)</p> Signup and view all the answers

Based on the code snippet, what is a key advantage of using Eventarc for handling BigQuery data insertion events?

<p>Eventarc allows for flexible and customizable responses to data insertion events, enabling tailored actions. (C)</p> Signup and view all the answers

Which of these options is NOT a core functionality provided by Cloud Composer for managing a DAG?

<p>Direct access to database tables for data manipulation (C)</p> Signup and view all the answers

What is the primary role of 'DataprocCreateBatchOperator' within the provided example DAG?

<p>Creating and managing a Dataproc cluster for batch processing (A)</p> Signup and view all the answers

Given the text, what is the correct order of the following steps in developing and executing a DAG in Cloud Composer?

<p>DAG Parsing -> DAG Deployment -> Scheduling -> DAG Execution (B)</p> Signup and view all the answers

What is the purpose of 'dependencies' in the context of a DAG created in Apache Airflow?

<p>Defining the order in which tasks should be executed (D)</p> Signup and view all the answers

Which of the following statements accurately reflects the role of operators in Apache Airflow?

<p>Operators encapsulate specific actions or tasks within the DAG. (D)</p> Signup and view all the answers

What does the Dataproc component primarily facilitate in the described workflow?

<p>Transforming data after the BigQuery operations (C)</p> Signup and view all the answers

Flashcards

Cloud Scheduler

A service that allows scheduling jobs to trigger workflows periodically.

Dataform SQL Workflow

A sequence of operations to process SQL data in an organized manner.

compilationResult

The output generated from Dataform code after compilation.

YAML Config File

A human-readable data serialization format often used for configuration files.

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Workflow Invocation

The action of triggering a specific process within a workflow using certain parameters.

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Recurring intervals

Specific times set for jobs to occur repeatedly.

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HTTP/S call

Trigger type in Cloud Scheduler to invoke services via web requests.

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App Engine HTTP

A call type to invoke Google App Engine services.

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Pub/Sub message

A messaging service for event-driven architectures in Google Cloud.

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Cloud Composer

Google Cloud's service for workflow orchestration.

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Eventarc

Service to trigger cloud functions based on events.

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Automation patterns

Frameworks or methods for streamlining task execution.

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DAG

Directed Acyclic Graph; a workflow representation in Airflow defining tasks and dependencies.

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Apache Airflow

An open-source platform for orchestrating complex workflows and managing task dependencies.

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Operators in Airflow

Predefined templates in Airflow used to define tasks in a DAG, like Dataproc or BigQuery operators.

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Error handling in workflows

Process of managing failures in workflows, including retries and notifications.

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Dataproc Workflow Template

A pre-defined process in Dataproc to automate data processing tasks.

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Cloud Storage

Google's online storage service for storing and accessing data.

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Cloud Run

A serverless computing service to run containerized applications.

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API Client

A tool that interacts with APIs to send and receive data requests.

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Event-driven Process

A workflow that triggers actions based on specific events occurring.

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instantiateWorkflowTemplate

The action to start a specific workflow from a template using provided parameters.

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inputBucketUri

A specific URI format to point to files in Cloud Storage for processing.

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Parameters in API Requests

Key-value pairs provided to APIs to customize responses or actions.

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GCSToBigQueryOperator

Loads data from Google Cloud Storage to BigQuery.

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JOIN query in BigQuery

Combines data from two tables based on a related column.

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BigQueryInsertJobOperator

Executes a query and inserts results into a BigQuery table.

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Dataproc

A service for processing big data using Apache tools.

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Cloud Audit Logs

Logs that record actions taken on Google Cloud resources.

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BigQuery INSERT event

An event triggered when new rows are added to a BigQuery table.

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event.name

The specific name of the logged event in Cloud Audit Logs.

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TableDataChange

A structured representation of changes made in BigQuery tables.

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insertedRowsCount

The number of rows added to a table during an INSERT operation.

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ServiceName

Identifies the Google Cloud service involved in an event.

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Custom Action

An action defined by the user to be triggered after an event occurs.

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Study Notes

Automation Techniques

Google Cloud offers various automation options for workloads
These options include Cloud Scheduler, Cloud Composer, Cloud Run functions, and Eventarc
Automation patterns and options for pipelines are explored
Cloud Scheduler and workflows are examined
Cloud Composer is a workflow orchestrator
Cloud Run functions execute code based on Google Cloud events
Eventarc creates a unified event-driven architecture for loosely coupled services

Cloud Scheduler

Cloud Scheduler invokes workloads at specified recurring intervals
It allows defining the frequency and precise time for job execution
Triggers can be based on HTTPS, App Engine HTTP calls, Pub/Sub messages, or Workflows
Used to trigger Dataform SQL workflows

Cloud Composer

Acts as a central orchestrator for pipelines
Integrates pipelines across different systems (Google Cloud, on-premises, multicloud)
Uses Apache Airflow for workflow definition (operators, tasks, dependencies)
Offers robust features for triggering, monitoring, and logging
Enables data analytics workflows
Python is frequently used to develop DAGs (directed acyclic graphs) for execution

Cloud Run Functions

Cloud Run functions execute code in response to various Google Cloud events
These events can include HTTP requests, Pub/Sub messages, Cloud Storage changes, Firestore updates, or custom events through Eventarc
Provides a serverless execution environment
Supports various programming languages for flexibility
Used for automating routine tasks, like triggering a Dataproc workflow after a file upload

Eventarc

Enables event-driven architecture for loosely coupled services
Connects various event sources (Google Cloud services, third-party systems, custom events) to various targets (e.g., Cloud Run functions)
Simplifies the integration of diverse systems using CloudEvent messages
Helps build responsive and scalable applications
Helps respond to infrequent events (e.g., data insertion events in BigQuery)
Enables deep monitoring of logging and other events

Lab: Using Cloud Functions to Load BigQuery

This lab involves creating, deploying, and testing a Cloud Run function to load BigQuery
The Cloud SDK is used
Students will view data in BigQuery and review function logs

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