Question 58 of 1,000
Automating and Orchestrating ML PipelinesmediumMultiple SelectObjective-mapped

PMLE Automating and Orchestrating ML Pipelines Practice Question

This PMLE practice question tests your understanding of automating and orchestrating ml pipelines. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

Your organization wants to automate the retraining of a model when new data is available and also on a weekly schedule. Which TWO services would you use together to achieve this? (Choose two.)

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Cloud Functions

Cloud Scheduler (E) is used to trigger the retraining on a weekly schedule by sending a message to a Pub/Sub topic or making an HTTP request. Cloud Functions (A) is the serverless compute service that executes the retraining code in response to that trigger, and it can also be triggered directly when new data arrives (e.g., via Cloud Storage or Pub/Sub). Together, they provide both event-driven and scheduled automation without managing infrastructure.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Cloud Functions

    Why this is correct

    For event-driven trigger on new data.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Cloud Composer

    Why it's wrong here

    Composer is for orchestration but adds complexity; not needed if only two triggers.

  • Cloud Tasks

    Why it's wrong here

    Tasks are for async execution, not scheduling or events.

  • Dataflow

    Why it's wrong here

    Dataflow is for data processing, not triggering.

  • Cloud Scheduler

    Why this is correct

    For weekly schedule.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Google often tests the distinction between orchestration (Cloud Composer) and simple scheduling/event-driven triggers (Cloud Scheduler + Cloud Functions), leading candidates to over-engineer the solution by choosing Cloud Composer when a lightweight combination suffices.

Detailed technical explanation

How to think about this question

Cloud Scheduler uses cron expressions (e.g., '0 0 * * 0' for weekly) to fire HTTP or Pub/Sub targets. Cloud Functions can be configured with a Cloud Storage trigger (e.g., 'google.storage.object.finalize') to react to new data uploads, and a separate Cloud Scheduler trigger for the weekly run. Under the hood, Cloud Functions scales from zero to handle bursts, making it cost-effective for infrequent retraining jobs, but it has a 9-minute timeout (first gen) or 60-minute timeout (second gen) which must be considered for long training runs.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

Quick reference

Cloud Service Model Comparison

ModelYou ManageProvider ManagesExamples
IaaSOS, runtime, apps, dataHardware, hypervisor, networkingEC2, Azure VMs, GCP Compute Engine
PaaSApps and dataOS, runtime, middleware, hardwareElastic Beanstalk, Azure App Service
SaaSData and settings onlyEverything elseMicrosoft 365, Salesforce, Workday
FaaS / ServerlessFunction code onlyInfra, scaling, runtimeLambda, Azure Functions, Cloud Run
CaaSContainers and appsKubernetes, OS, hardwareEKS, AKS, GKE

What to study next

Got this wrong? Here's your next step.

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FAQ

Questions learners often ask

What does this PMLE question test?

Automating and Orchestrating ML Pipelines — This question tests Automating and Orchestrating ML Pipelines — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Cloud Functions — Cloud Scheduler (E) is used to trigger the retraining on a weekly schedule by sending a message to a Pub/Sub topic or making an HTTP request. Cloud Functions (A) is the serverless compute service that executes the retraining code in response to that trigger, and it can also be triggered directly when new data arrives (e.g., via Cloud Storage or Pub/Sub). Together, they provide both event-driven and scheduled automation without managing infrastructure.

What should I do if I get this PMLE question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jul 4, 2026

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This PMLE practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PMLE exam.