Google Cloud Associate Cloud Engineer Course in Pune

How the GCP ACE exam scores you (Google's item-response-theory model), the question patterns Google uses (scenario-based multiple-choice and multi-select), test-day logistics for Kryterion. Foundations review — Organisation / Folder / Project hierarchy, IAM principals, the gcloud CLI essentials. By the end of week 1 every student has done a 50-question diagnostic.

The Associate Cloud Engineer exam is unusually command-line heavy for an associate certification: a large share of its questions show you a `gcloud` invocation and ask what it does, or describe a task and ask which command performs it. Fluency in the CLI is therefore not optional, and this week builds it.

You work through the console, Cloud Shell and the SDK, configurations and named profiles, and the `gcloud` command grammar — group, subgroup, verb, flags — which is regular enough that you can often reconstruct a command you have never used. The resource hierarchy of organisation, folders and projects is covered here because everything in the rest of the course inherits down it.

Project setup at depth. Cover the resource hierarchy, billing setup (linked billing accounts, budget alerts), the gcloud CLI configuration, plus the patterns Google asks about — multi-project organisation, Shared VPC for centralised networking, organisation policies for governance.

Resource planning. Compute selection — Compute Engine (custom machine types, preemptible / spot), GKE Autopilot vs Standard, Cloud Run, Cloud Functions, App Engine. Data services — Cloud SQL vs Spanner vs Firestore vs BigQuery vs Bigtable (when each fits). Network planning — VPC design, custom vs auto subnets, regional considerations. Plus cost estimation via Pricing Calculator.

The selection question that runs through the whole exam: given this workload, which compute product is correct. Compute Engine covers machine families, custom machine types, preemptible and spot instances, instance templates, managed instance groups and autoscaling.

GKE covers clusters, node pools, Autopilot against Standard, and the `kubectl` basics the exam expects. Cloud Run covers container-based serverless, App Engine covers standard and flexible environments, and Cloud Functions covers event-driven code. The module closes on the decision itself — stated as a set of criteria rather than a preference, because that is how the exam frames it.

The data half of the exam, and another selection problem. Cloud Storage covers buckets, storage classes and their retrieval costs, lifecycle rules, object versioning, retention policies and signed URLs — plus uniform against fine-grained access control, which the exam asks about directly.

Databases cover Cloud SQL with high availability and read replicas, Cloud Spanner and what its horizontal scale is for, Firestore for document data, Bigtable for wide-column time-series work, Memorystore for caching, and BigQuery for analytics. Persistent disks and Filestore complete the block and file picture. The recurring exam shape is a workload description that maps to exactly one of these, and the module trains recognising it.

Google Cloud's networking model differs from its competitors in ways the exam tests deliberately: VPCs are global, subnets are regional, and firewall rules are stateful with priorities and target tags. Candidates carrying assumptions from AWS or Azure lose marks here, so the differences are made explicit.

You build VPCs and subnets, write firewall rules with priorities and service accounts as targets, and configure Cloud NAT for private instances. Load balancing covers the global and regional options and the layer each operates at, then Cloud DNS, Cloud CDN, VPC peering, Shared VPC and the hybrid connectivity options at the level the exam expects.

The largest exam domain. Compute deployment — Compute Engine instances, instance templates, Managed Instance Groups + autoscaling, GKE deployment (Autopilot + Standard), Cloud Run deployment, Cloud Functions deployment, plus container image management via Artifact Registry. Data deployment — Cloud SQL setup, BigQuery dataset / table creation, Cloud Storage buckets and lifecycle. Plus deployment via Deployment Manager (the GCP-native IaC) and Terraform.

Operations domain. Monitoring — Cloud Monitoring metrics, alert policies, dashboards. Logging — Cloud Logging, log-based metrics, log routing (sinks). Cloud Trace and Cloud Profiler. Plus the maintenance patterns — scaling, backups (Cloud SQL automated backups, Cloud Storage versioning), troubleshooting flowcharts.

Domain 4 rests on the operations suite, and the exam asks practical questions: which tool shows you this, and how would you alert on it. Cloud Monitoring covers metrics, dashboards, uptime checks, alerting policies and notification channels, plus the Ops Agent that has to be installed before VM memory and disk metrics exist at all — a detail that appears in questions.

Cloud Logging covers the log explorer, query syntax, log sinks and exports to Cloud Storage or BigQuery, retention and log-based metrics. Error Reporting, Cloud Trace and Cloud Profiler close the module, along with the diagnostic habit the exam rewards: identifying which signal answers the question before reaching for a tool.

A small domain by weight and an easy one to secure, provided you have actually looked at a billing console rather than read about one. Billing accounts and their relationship to projects, budgets and alerts, billing export to BigQuery, and the reports that answer where the money went.

Quotas get their own treatment because they are a frequent exam subject and a frequent real obstacle: the difference between rate and allocation quotas, how to see current usage, and how an increase is requested. Committed use and sustained use discounts close the module, along with preemptible instances as a cost strategy and the pricing calculator.

Access and security. IAM — predefined vs custom roles, conditions, service accounts (the GCP differentiator from AWS / Azure — service accounts are first-class principals), Workload Identity Federation. VPC Service Controls. Plus encryption — Google-managed keys, customer-managed encryption keys (CMEK), customer-supplied encryption keys (CSEK).

The largest identity component of the exam, and the one with the most Google-specific behaviour. The three role types — basic, predefined and custom — with the standing guidance that basic roles are almost never the correct exam answer. Policy inheritance down the resource hierarchy, and the union behaviour that means a permission granted higher up cannot be removed lower down by an allow policy.

Service accounts get extended treatment: default against user-managed, impersonation, key management and the strong preference for avoiding downloaded keys, and Workload Identity for GKE. Organisation policy constraints, IAM Conditions and the audit questions the exam asks close the module.

Two full-length mock exams under timed conditions — students who score 75–85% on the second mock typically pass first attempt. Final gap-closure on weak domains, exam-booking guidance for Kryterion (online vs test centre), test-day strategy.