HashiCorp Terraform Associate 003 Exam Actual Questions
HashiCorp Certified: Terraform Associate (Page 27 )

• State is stored remotely in Terraform Cloud/Enterprise, not as a local file.
• Terraform runs (plan/apply) can be executed on remote infrastructure, with results visible in the remote workspace UI.
• Supports workspace-based organization, state locking, and concurrency control.
• Useful for team collaboration, centralized governance, and auditable logs.

• In your configuration, you use a backend block like backend "remote" { ... }.
• You still run terraform init to configure/migrate to the remote backend.
• After setup, terraform plan/terraform apply may be executed remotely, and the outputs/logs appear in the Terraform Cloud/Enterprise UI rather than (only) in your local terminal.

• Other backends store state remotely but typically do not provide remote execution; with the remote backend you get remote runs and a collaborative UI, not just remote state storage.

• Answer: B (False)

• Explanation: The terraform.tfstate file is a snapshot Terraform uses to map your configuration to real resources. It does not always stay perfectly in sync with the live infrastructure. Drift can occur if resources are changed outside Terraform or manipulated directly. You can reconcile this with commands like terraform plan (to see what would change) and terraform refresh (to update the state). The state stored in a backend reflects the last known state, not a guaranteed real-time reflection of reality. See Terraform state documentation for details.

• Answer: False

• Why: The terraform.tfstate file is a snapshot of the resources as Terraform last applied or refreshed them. If someone or something changes infrastructure outside Terraform (drift), the state file may no longer match the real world until you refresh or re-apply. Terraform normally refreshes state during plan/apply, but it is not guaranteed to always be perfectly in sync without a refresh.

• ProductSearchModel.getProductSearchHits() — option C
• ProductSearchHit.getRepresentedProducts() — option B

• ProductMgr.queryAllSiteProducts() (A) queries every product in the site, which is heavy and not scalable for large catalogs.
• Category.getProducts() (D) retrieves all products in a category; this can be slow for large categories.
• Using the search model and hits (B and C) leverages the search index, supports paging, and avoids scanning the entire catalog, making it more scalable.

• Correct answer: A: The ITIL service value system (SVS).

• The SVS explains how all components (governance, the service value chain, practices, guiding principles, information and technology, partners and resources, and continual improvement) work together to enable value creation from demand to outcomes.

• B: The ITIL guiding principles describe aspirational guidance for decision-making, not how all components/activities interact.
• C: The four dimensions of service management explain areas to consider (organizations/people, information/technology, partners/suppliers, value streams/processes) but don’t describe the integrated system itself.
• D: A service relationship defines the relationship between provider and consumer, not the overall system of components and activities creating value.

• Why: Crisis management relies on established, repeatable procedures for responding to an incident (activation of the crisis team, escalation paths, communications, containment actions). This ensures a coordinated, timely, and auditable response.

• Why not the others:

• Correct answer: enable SLAAC on an interface (C)

• Why the other options are not correct:

• The 99.99% availability SLA for VMs is achieved when you run VMs across two or more Availability Zones.
• Two VMs in a single Availability Zone do not meet the 99.99% target (their SLA is lower, e.g., around 99.95% or less depending on configuration).

• Deploy at least two VMs across two different Availability Zones (one VM in each zone, or both in two zones with a load balancer).
• This provides the required zone redundancy and the 99.99% SLA.

• The policy is confidential, and the requester is no longer authorized merely because they used to work for the organization.
• The security professional should not disclose it by email or display it on a device without authorization.
• Using official channels allows the organization’s owner or information custodian to verify:

• A push endpoint behind a load balancer handles massive fan-in from many devices while distributing load across servers.
• A container cluster (e.g., Kubernetes) provides scalable, flexible processing for ingestion and orchestration of services.
• Cloud Pub/Sub enables durable, scalable streaming of the raw vehicle data to downstream analytics, making real-time/near-real-time analysis feasible for centralized querying by analysts.

• Vehicles push data to the endpoint (HTTP) behind a load balancer.
• Ingestion services run in a container cluster and publish data to Cloud Pub/Sub.
• Pub/Sub streams data to analytics processing (e.g., Dataflow) and storage (e.g., BigQuery) for central querying by analysts.

• They don’t provide scalable, real-time streaming ingestion and centralized querying at the required scale.

• SageMaker endpoint: Not required because the model is being used through Amazon Bedrock.
• SageMaker Model Registry: Used for managing SageMaker models, not for making a Bedrock custom model available.
• Grant access in Amazon Bedrock: IAM permissions may still be needed, but granting access alone does not provide the required inference capacity.

1. Ingestion Lambda receives requests from API Gateway and places messages in an SQS queue.
2. Processing Lambda is triggered by the queue and loads records into Aurora PostgreSQL.

• Decoupling: API request handling is separated from database loading.
• Buffering: SQS absorbs bursts when incoming traffic exceeds the database’s processing capacity.
• Controlled concurrency: Configure the SQS-triggered Lambda’s concurrency and batch size to avoid overwhelming Aurora or exhausting database connections.
• Automatic retries: Messages that fail processing can return to the queue and be retried. A dead-letter queue can capture persistent failures.
• Lower operational effort: The solution remains serverless and avoids managing EC2 servers or Kubernetes clusters.

• A: EC2 and Tomcat add server-management overhead.
• B: DynamoDB/DAX would require changing the database model and does not solve the Aurora ingestion design.
• C: SNS is useful for notifications and fanout, but SQS is better for durable buffering and backpressure in this producer-consumer workflow.

• The correct AAA mapping (per Cisco objectives) is:

• Why the given options aren’t fully correct:

• Quick takeaway: when you configure AAA, you should conceptually map them as:

• Example commands (to reinforce concepts):

• Correct answer: C: Amazon Comprehend.

• Why: The library wants to classify books based on their text content. This is an NLP (natural language processing) task. Amazon Comprehend is AWS’s managed NLP service that can perform content classification (including creating custom classifiers) and extract meaningful information from text. The other services are not focused on text classification:

• Quick note: In practice, you’d store the books in S3, extract text if needed (e.g., from PDFs with Textract), and then use Comprehend to classify the documents into topics or genres.

• Correct answer: C. AWS CloudFormation

• Why: CloudFormation lets you define infrastructure as code via templates (JSON or YAML). You can create a single template that describes multiple AWS resources and reuse it to deploy consistent stacks across environments. Templates can be parameterized and stored for repeated deployments. Other options (Marketplace, AMI, OpsWorks) don’t provide reusable deployment templates in the same way.

• The stage has a default file format defined (e.g., when you create the stage with FILE_FORMAT = (...)), and Snowflake will use that default.

• You use a named file format attached to the stage, or you specify an inline format in the COPY command, e.g., COPY INTO my_table FROM @my_stage FILE_FORMAT = (TYPE = 'CSV');

• Use a stage default: omit FILE_FORMAT in COPY.
• Or rely on a named/inline format: specify FILE_FORMAT in COPY or set a format on the stage.

• Answer: False. The page marks the answer as B, which corresponds to False.

• The Import Wizard in Salesforce is designed for importing a subset of objects, typically including Accounts, Contacts, Leads, and Campaign Members.
• Opportunities are not supported by the Import Wizard. To import Opportunity records, you should use Data Loader or the API (for larger volumes or more complex mappings).
• Practical tip: If you need to bring in opportunities, create or link to the related Account first, ensure required fields like StageName and CloseDate are included, and use Data Loader (or a similar tool) to insert or upsert the data.

• On-Demand: You pay by the hour with no long-term commitment. This is ideal for workloads that are infrequent or have highly variable usage. Since this job runs only 24 hours once per year, you pay only for those 24 hours, with no wasted upfront or long-term payments.
• Reserved Instances: Require a 1- or 3-year commitment and pay for capacity whether you use it or not. For a workload that runs just 24 hours a year, you’d be paying for most of the term unused, making it far less cost-efficient.
• Spot Instances: Can be interrupted whenever AWS needs capacity, which is unacceptable for an uninterruptible workload.
• Dedicated Instances: Generally more expensive and aimed at licensing or compliance requirements; not needed for this use case.

• L2TP uses UDP port 1701 for the L2TP control channel.
• The destination port is 1701; the source port is a dynamically chosen ephemeral port on the client (not 1701).
• Therefore the statement that both source and destination ports are 1710 is incorrect (and 1710 is not the standard L2TP port).

• The destination port should be 1701, not 1710.
• The source port should be an ephemeral port chosen by the client, not 1701.

• Risk transfer means shifting the financial impact of a threat from the organization to another party (the insurer). Buying cyber insurance accomplishes this shift.
• It is not Accept: acceptance of risk would be tolerating it without action.
• It is not Mitigate: mitigation involves reducing likelihood or impact with controls, not shifting costs.
• It is not Avoid: avoidance would be not engaging in the activity that creates the risk; insurance does not remove the risk itself.

• The standard Enterprise Architecture domains are: Business, Data, Application, Technology (BDAT).

• A: Business, strategy, application and technology — includes business and application/tech but uses “strategy” instead of data.
• B: Zachman, TOGAF, Cobit, and Heath architectures — names frameworks, not domains.
• C: Business, data, infrastructure and technology — has business, data, and technology; lacks a distinct application domain (uses “infrastructure” instead).
• D: Process, database, software and technology — covers data (database), application (software), and technology, but omits business.

• The four BDAT domains (business, data, application, technology) is the conventional model you should study.
• None of the options perfectly lists all four BDAT domains. The closest are C (if you map infrastructure to technology) and D (data/application/technology but no business).

• Answer: B — Improve employee training and awareness

• Why this is correct:

• Why the other options are less effective here:

• Quick practical note:

• Answer: No

• Why: Using several Azure AD directories (tenants) would create separate identity stores for each division, which significantly increases administrative overhead. You’d need cross-tenant access management, separate governance, and duplicated admin efforts, which goes against the goal of minimizing administrative work.

• How to meet the goal instead:

• Answer: D) Shadow IT

• Why: Shadow IT is when employees use unsanctioned tools or bypass IT controls (like the VPN) to access services, often without IT oversight. It’s an internal behavior, not an external attacker’s activity.

• Not these:

• Quick note: This creates risk due to lack of visibility and control. Mitigations include a defined approved-tools list, enforcing VPN usage, device management, and continuous monitoring.

• wyjasnic istniejace pytania z tej strony,
• wskazac, dlaczego dana odpowiedz jest poprawna lub bledna (z uwzglednieniem celów egzaminu),
• omówic koncepcje zwiazane z Google Cloud AI.

Why B works

• AWS KMS keys are Regional resources. A normal customer managed key in Region A cannot be used directly in Region B.
• A customer managed multi-Region KMS key (MRK) has related key replicas in both Regions. The replicas share key material and key ID, although each has a Regional ARN.
• With client-side encryption, the application encrypts the data before storing it in S3. Cross-Region replication then copies already-encrypted objects, so S3 does not need to decrypt and re-encrypt them with a different Regional key.

Why the other choices are weaker

• A and C: SSE-S3 uses Amazon-managed S3 keys, not the required customer managed KMS key.
• D: SSE-KMS can work only if the solution creates and configures the appropriate KMS key or multi-Region key replica in each Region. As written, it says to create a customer managed KMS key in each Region, which implies separate keys—not the same KMS key. Replication also requires additional KMS permissions and destination encryption configuration.

• A. Custom and standard objects have standard fields. True. Both object types include standard fields (for example, CreatedDate, LastModifiedDate, Owner). Custom objects also have the Name field, which is a standard field on all objects.
• B. Standard objects are included with Salesforce. True. Standard objects (like Account, Contact, etc.) come with Salesforce out of the box.
• C. A new standard object can be created. False. You can create custom objects, but you cannot create new standard objects.
• D. Only standard objects support master-detail relationships. False. Master-detail relationships can be used with both standard and custom objects.

• Amazon Kendra is a managed enterprise search service that can index content stored in S3 and support natural-language queries to find text inside documents (PDFs, Word files, etc.).

• Rekognition analyzes images/videos, not document text search.
• Polly is a text-to-speech service.
• Lex is a chatbot service.

• Create a Kendra index.
• Add a data source of type S3 and point it to your bucket (with an IAM role that allows access).
• Configure/document conversion if needed, then index the data.
• Use the Kendra API or console to run natural-language queries against your indexed documents.

• Used for communication on the local link or LAN segment
• Automatically generated on IPv6-enabled interfaces
• Not routed by routers to other networks
• Commonly used by devices to communicate with their local IPv6 router
• Begins with FE80 through FEBF

• FC00::/7 — unique local unicast
• FE80::/10 — link-local unicast
• FF00::/8 — multicast
• 2000::/3 — global unicast

• The correct answer: D) Sniffer

• Why: The issue is that requests to the anti-malware update site are being redirected to a malicious site. A network sniffer lets you capture and analyze live traffic to see exactly what is being sent and received. You can check:

• Why the others aren’t first steps:

• Quick practical approach:

• Authenticating websites with TLS/HTTPS
• Enabling certificate-based VPN authentication
• Signing or encrypting email
• Supporting device or user authentication

• VLAN tagging: Uses network-frame tags, such as 802.1Q; it does not rely on X.509 certificates.
• LDAP: May integrate with PKI in some environments, but X.509 certificates are not most commonly associated with LDAP itself.
• MFA: Certificates can be one authentication factor, but X.509 is fundamentally a PKI technology.

• The question asks which Azure support plans allow you to open new support requests.

• Key concept:

• Therefore, the correct choice is the plan(s) other than Basic (i.e., Developer, Standard, Professional Direct, Premier). If the provided key lists only one option as correct (A), it may be incomplete or misleading—the official plans page shows that Basic does not meet the requirement, while the paid plans do. See: https://azure.microsoft.com/en-us/support/plans/

• A? ??? Aurora Replicas? ?? ??? ???? ?? ???, ?? ???? Network Load Balancer(NLB)? ??????. NLB? ?? 4 ?? ???? HTTP ??? ?? ???(Sticky sessions)? ????? ???? ????.
• ??? ?? ??????? ?? ?? ???? ??? ???? ?? ????? ????? ?? ?? ???(?? ?/??? ??)? ?????. ? ??? ALB?? ?? ????, NLB?? ???? ?????.
• ??? ??? ??? ??? ???? ?? ???? ???? HTTP ???? ??? ALB? ???? ???. A? ? ??? ??????.

• What each role allows at the storage account scope:

• Why someone might say it’s not correct in this question:

• Practical takeaway:

• The answer: Question 51: C — Request trigger.

• To invoke a Logic App from an external service (here, the Azure Application Insights availability test) you need a trigger that starts on an incoming HTTP request. In Logic Apps, this is the trigger that exposes an HTTP endpoint — typically shown as "When a HTTP request is received" and referred to as the Request trigger.
• The other options aren’t appropriate:

• Create a Logic App with the Request trigger to generate a URL.
• Configure Application Insights to post the degraded-availability payload to that URL.
• Add actions (e.g., send email, follow-up) in the Logic App to notify the customer services team.

• Context: You’ve enabled auditing in Dataverse and need to trim audit data to free storage. The question asks which deletion options you can use.

• What the options typically mean:

• About the provided answer (A, C, D): The list includes “by column,” which isn’t a typical or supported way to purge audit data. The more plausible trio is A (by record), B (date range), and C (by table older than date). If the exam expects A, C, D, that seems incorrect or mis-stated in the source.

• Practical takeaway: To reduce audit storage, use per-record deletions, per-table purge by date, and/or date-range deletions as supported by the environment’s audit management UI or admin docs.

• The correct answer is Mass Transfer Tool.

• The Mass Transfer Records tool is Salesforce’s built-in way to reassign ownership of existing records in bulk. In this scenario, you need to transfer ownership of the departed rep’s accounts and opportunities to a new rep while keeping the team structure intact.

• Go to Setup > Data Management > Mass Transfer Records.
• Choose the object: Accounts (and then Opportunities, if needed).
• Set “Transfer From” (the leaving rep) and “Transfer To” (the new rep).
• Decide whether to transfer related records as well (e.g., opportunities tied to accounts) and proceed.
• Review and confirm.

• Data Loader / Data Import Wizard are for bulk import/export, not bulk reassigning ownership.
• Dataloader.io is a third-party tool; the built-in Mass Transfer tool is the standard Salesforce method for this task.

• Storage requirement: 10 apps × 10 GB each = 100 GB total. Basic’s storage quota is insufficient to host 100 GB in one plan, whereas Standard provides enough storage capacity for multiple apps.

• Dedicated compute: The plan must use dedicated compute instances; Free/Shared do not meet this, while Basic, Standard, and higher do.

• Load balancing: The plan must include load balancing between instances. Standard includes built-in load balancing across app instances; Basic may not meet this requirement.

• Costs: Among the plans that satisfy storage, dedicated compute, and load balancing, Standard is the lowest-cost option.

• '15' is a string. With + and a string, JavaScript does string concatenation: '15' + 10 -> '1510'.
• The result '1510' is then used in a multiplication: '1510' 2. The operator triggers numeric conversion, so '1510' becomes the number 1510.
• 1510 * 2 = 3020.

• If the code were let x = (15 + 10) * 2, the result would be 50 since 15 + 10 is numeric addition.

• Answer: Record Producer (option D)

• Why: In ServiceNow HR Service Delivery, to make an HR Service usable from the Employee Service Center (self-service portal), there must be a way for employees to submit the request. A Record Producer provides the employee-facing form that creates the underlying HR Case when submitted. Without a linked Record Producer, the HR Service wouldn’t offer a submit form in the Employee Center.

• What the other fields are generally for (not required for exposure):

• Quick check: Look at the HR Service definition and ensure a Record Producer is associated so employees can submit requests from the Employee Center.

• prompt: the input or instruction given to the model
• completion: the desired response

json 
{"prompt":"Summarize this customer complaint.","completion":"The customer reports a delayed shipment."}

• B: A .txt file containing CSV-style lines is not automatically a valid fine-tuning dataset. The required structure and format must match the selected Bedrock model.
• C: Provisioned Throughput provides dedicated inference capacity; it does not fine-tune a model.
• D: Journals and textbooks might support domain adaptation or pretraining, but they do not provide the prompt-to-answer examples typically required for supervised fine-tuning.

• Key concept: ALE = SLE × ARO

• SLE = $15,000
• Occurrences: 2 in 3 years ? ARO = 2/3 per year ˜ 0.6667

• ALE = $15,000 × 0.6667 ˜ $10,000 per year

• ALE is the expected annual loss, so it averages the losses over each year.
• This helps prioritize risk treatments by comparing ALE to the cost of controls.

• The requirement: the support plan must allow opening new support requests (technical support incidents).
• Azure’s Basic plan does not include technical support incidents—only billing/subscription support and access to community support.
• Therefore, you must choose a paid plan to open new technical support requests: Developer, Standard, Professional Direct, or Premier.

• Source: on-premises SQL Server Database1
• Destination: Fabric Warehouse Warehouse1
• Connectivity: on-premises data gateway

• Dataflow Gen1: Primarily for Power Query transformations and isn’t the best Fabric-native choice for this copy operation.
• KQL queryset: Queries data; it does not orchestrate copying from SQL Server.
• Notebook: Could perform custom code-based movement, but it is unnecessary and less direct than a pipeline.

• Correct answer: B (No, it does not).

• A purchase agreement in Dynamics 365 SCM is a vendor-side price arrangement. It sets prices/discounts for what your company buys from suppliers, not for what you sell to customers.
• The objective in Question 2 is to give clients a quantity-based discount on items they purchase from you. To accomplish this, you should configure a sales price / trade agreement (on the customer/sales side), not a purchase agreement.
• In a sales price trade agreement, you can define quantity breaks such as:

• Create a Sales price trade agreement for the item and relevant customer (or customer group).
• Add quantity breaks: 51–100 with 10% discount, 101+ with 15% discount.
• Ensure the agreement is active for the desired date range.

• Why: A multi-modal embedding model maps both text and images into a shared vector space, enabling cross-modal similarity and retrieval (e.g., find images matching a text query or text matching an image).

• What it does: Enables efficient similarity search using a vector database or nearest-neighbor indexing.

• Why the other options aren’t suitable:

• Quick implementation note: you’d typically pair the embeddings with a vector store (e.g., ANN index) and possibly fine-tune on domain data for better alignment across modalities.

• Box 1: Azure Lighthouse — ??? ??????? ? ?????????? ????????? ? ?????????? Entra tenants. ??? ??????????? ??? ??? ????? ????? ? VM ? ?????? ?????????/????????.
• Box 2: Azure Monitor Agent ? ?????????????? Data Collection Rules (DCR) — AMA ???????? ??????? Windows (????????, Security Logs) ? DCR ??????????, ????? ??????? ???????? ? ???? ?????????? (? ?????? Log Analytics workspace).

• Most recent update: orders results by the date the article was last updated (newest first).
• Relevancy: orders results by how closely articles match your search terms.
• Number of views: orders results by how often an article has been viewed (popularity).

• Popularity is not a standard separate sort option in Knowledge Base (the related concept is typically covered by “Number of views”).
• Manager assignment has no bearing on how Knowledge Base results are ranked.

• Recovery procedures actually work
• Recovery time and recovery point objectives can be met
• Staff understand their responsibilities
• Contact details, dependencies, and technical configurations are accurate
• Gaps or conflicts exist in the plan

• Not version-controlled: Creates a risk of using an outdated copy, but the plan might still be effective.
• Contact information needs updating: This is a specific weakness that can be corrected, often identified during testing.
• Not approved by senior management: Approval is important for authority and resource commitment, but an untested plan presents the most direct risk that recovery will fail when needed.

• Statement 1: Admin1 must approve requests for the Agent ID Developer role — No

• Statement 2: Admin2 can approve requests for the AI Administrator role — No

• Statement 3: Admin3 can assign User1 a two-day active assignment for the Agent ID Developer role — Yes