HashiCorp Terraform Associate 004 Cheat Sheet: HCL, State, and Modules
March 31, 2026
HashiCorp Terraform Associate 004 cheat sheet for HCL, state, modules, traps, and final review.
On this page
Use this for last-mile review. Pair it with Resources for current official HashiCorp checks, then use the exact Terraform Associate 004 page on MasteryExamPrep.com when you want the matching simulator and sample-question route.
Terraform answer sequence
Use this when the stem mixes configuration, state, providers, modules, or drift.
flowchart TD
S["Scenario"] --> C["Classify the Terraform object or command"]
C --> S2["Check state, backend, or provider fit"]
S2 --> P["Check plan, import, or dependency behavior"]
P --> V["Verify with safe apply or drift review"]
Workflow in one screen
flowchart TD
Config["Configuration"] --> Init["Init, Fmt, Validate"] --> Plan["Plan"]
State["State"] -. compared with .-> Plan
Providers["Providers"] -. refreshed during .-> Plan
Plan --> Apply["Apply"]
Apply --> Infra["Real Infrastructure + Updated State"]
Infra --> Review["Drift / Import / Review"]
Review --> Config
Step
What it really does
Common exam cue
init
prepare working directory, backend, providers, and modules
first step in a new or changed directory
fmt
normalize style
formatting and review hygiene
validate
check configuration structure
find config issues before planning
plan
compare configuration with state and remote reality to preview change
safe review before execution
apply
perform approved changes
make real infrastructure match intent
destroy
remove managed infrastructure
teardown or cleanup lane
Terraform nouns that must not blur together
Term
What it is really for
Do not confuse it with
provider
plugin that talks to a platform
backend
backend
state storage and access mechanism
provider config or a resource
resource
object Terraform manages
data source
data source
read-only lookup of existing information
resource creation
module
reusable configuration package
workspace
workspace
separate state instance for the same configuration
packaging or code reuse
variable
input to configuration
state
output
exported result from configuration
dependency declaration
Fast picker table
If the question is really about…
Strongest first lane
where Terraform remembers managed objects
state
where state should live for collaboration
backend or HCP Terraform workspace
reusable building block
module
platform-specific API integration
provider
reading an already existing object
data source
separating one config across environments
workspace
bringing an existing object under management
import
reviewing impact before real change
plan
Configuration and dependency cues
Cue
Strong reading
resource block
manage and create/update/destroy something
data block
read something external or preexisting
reference from one object to another
Terraform usually infers dependency order
depends_on
explicit dependency only when inference is not enough
expression or function
make configuration dynamic without changing Terraform’s core model
Common dependency traps
Trap
Better reading
adding depends_on everywhere
let references infer dependencies unless there is a real hidden dependency
using outputs as if they replace state awareness
outputs expose values; state still tracks managed objects
treating data sources as creators
data sources read, they do not own or create infrastructure
State, drift, import, and backends
Concept
What it means
Why the exam cares
state
Terraform’s record of managed objects and mappings
safe planning depends on it
drift
real infrastructure changed outside Terraform’s expected model
plan output and corrections depend on it
import
bring an existing object under Terraform management
management change without creating from scratch
remote backend
move state off local disk into a shared controlled location
collaboration, locking, and safety
state locking
prevent unsafe concurrent changes
protect team workflow
State rules to remember
plan is not just syntax review. It uses configuration + state + provider knowledge to preview change.
drift means the real environment and Terraform’s expected model diverged.
import changes Terraform’s awareness of an object; it does not mean Terraform created that object.
remote backends are about collaboration and safety, not just convenience.
Provider versus backend
Question
Provider
Backend
Main job
talk to AWS, Azure, GCP, or another platform
store and access state
Affects resource creation?
yes
no
Common trap
assuming it controls where state lives
assuming it talks to the cloud API
Module versus workspace
Question
Module
Workspace
Main job
package reusable configuration
separate state instances
Solves reuse?
yes
no
Solves environment separation?
not by itself
yes
Common trap
treating it as state separation
treating it as code reuse
Change-safety table
Need
Strongest first answer
preview impact before execution
plan
catch configuration problems before planning
validate
normalize style before review
fmt
collaborate without local-only state risk
remote backend or HCP Terraform
control who can run and approve changes
HCP Terraform workflow/governance features
correct Terraform ownership of an existing object
import plus config alignment
HCP Terraform quick cues
If the question is really about…
Strongest first lane
remote runs and shared workflow
HCP Terraform workspace
centralized state and collaboration
HCP Terraform platform features
governance or policy controls
HCP Terraform platform layer
credentials and variables for shared runs
workspace/platform configuration
HCP Terraform traps
Trap
Better reading
CLI workflow and HCP Terraform are interchangeable
HCP Terraform adds collaboration, remote execution, and governance around the workflow
workspace means the same thing everywhere
Terraform CLI workspaces and HCP Terraform workspaces both separate run contexts, but the platform also adds workflow features
High-confusion pairs
Pair
Keep this distinction clear
provider vs backend
cloud API integration versus state storage
resource vs data source
managed object versus read-only lookup
module vs workspace
code reuse versus state separation
plan vs apply
preview versus execution
drift vs import
unexpected external change versus bringing an existing object under management
Last 15-minute review
Recheck this
Because the miss usually hides here
what init actually prepares
it is more than just downloading one provider
why plan matters
it is the core safety and review surface
what state is recording
many wrong answers treat state as optional metadata
backend, module, workspace, and provider boundaries
Terraform nouns blur easily under time pressure
HCP Terraform role
collaboration and governance sit above raw CLI flow
What strong Terraform Associate answers usually do
separate configuration authoring, state behavior, and platform workflow
reason from plan and state before talking about execution
keep provider, backend, module, workspace, resource, and data source boundaries clear
choose the safer collaborative workflow when the stem points to team use