Salesforce HEROKU-ARCHITECT Exam Prep
Salesforce Certified Heroku Architect (Page 16 )

• The correct answer is A: CCTV recordings are not regularly reviewed.

• CCTV is a monitoring/control mechanism. If recordings aren’t reviewed, security events (break-ins, policy violations, equipment tampering) can go undetected and unaddressed.
• Regular review is essential for deterrence, incident response, and forensic evidence. Without it, the entire CCTV control provides little value.

• B (records deleted after one year) affects forensic availability, but it’s a data-retention issue rather than the ongoing effectiveness of the surveillance program.
• C (footage not recorded 24x7) creates gaps in coverage, which is a concern, but regular review of available footage still supports detection; 24x7 coverage is a separate policy/perimeter issue.
• D (cameras not in break rooms) is more about privacy and space planning than core data-center security monitoring.

• Azure Resource Manager templates: Use ARM templates to define the VM infrastructure and baseline configuration as code. This ensures all Windows Server 2016 VMs are created with a uniform setup, minimizing manual configuration.

• PowerShell Desired State Configuration (DSC) extension for Windows: DSC enforces a defined state across all servers and can automatically remediate drift. This keeps the VMs in the desired configuration with minimal ongoing admin effort.

• In the AWS shared responsibility model, AWS manages the security of the “infrastructure,” including the physical hardware and underlying virtualization.
• The customer is responsible for everything else in the cloud stack: the guest OS on EC2, the NoSQL database software running on it, data, patching the OS, and configuring access controls like security groups.
• So, for a self-managed NoSQL database on EC2, AWS would handle the physical hardware, while you would patch the guest OS and manage DB availability, backups, and security.

• B — Prompts and suggestions retained for 28 days
• C — User engagement data kept for two years

• The key distinction is between content data—your prompts, code context, and generated suggestions—and engagement data, such as usage activity.
• Do not confuse retention with training: enterprise Copilot data is generally not used to train GitHub’s models without appropriate authorization.
• For a current exam, verify the policy version cited by the exam provider. The key’s C is likely correct, but B should be treated cautiously and may no longer reflect the current policy.

• A recipient who already has a Microsoft account or an organizational account can authenticate by signing in.
• A recipient without a usable Microsoft identity may receive a one-time passcode by email.
• The passcode is sent to the same email address that was invited and is used to verify ownership of that address.

• A. Implement retries with exponential backoff

• C. Reduce the frequency and/or size of requests

• B. Use PutRecord instead of PutRecords — PutRecord sends one record per call and does not remove the underlying throughput limitation. It may increase request overhead.
• D. Use Amazon SNS instead — SNS is not a direct fix for Kinesis shard throttling and changes the required streaming architecture.
• E. Reduce KCL consumers — KCL consumers read from Kinesis; they do not solve producer-side PutRecords throttling.

• Batch processing, such as scheduled data transformations
• Streaming processing, such as continuously ingesting events

• Manipulating data with multiple languages: Mainly a benefit of Databricks and Spark.
• Real-time notebook collaboration: A workspace/notebook feature.
• Alerts for query failures: A Databricks SQL or job-monitoring feature.
• Distributing complex operations: Primarily a Spark compute capability.

• VPC: A logically isolated virtual network in a cloud environment; it describes networking, not shared application access.
• NFV: Replaces dedicated network appliances with virtualized network functions.
• SaaS: A cloud service model in which users consume an application without managing its infrastructure. It could describe how the application is delivered, but the question emphasizes serving multiple user groups, which points to multitenancy.

• Mapping:

• Why:

• Quick note: If you were to host a website on a VM, it would be IaaS; if you used a platform service instead of a VM, it would be PaaS. CaaS (containers) isn’t shown here.

• Create a record-triggered Flow on Opportunity.
• Run it when the record is created or updated.
• Add entry criteria such as Probability > 50%.
• Use Create Records to create the related Sales Demo Request, populating its Opportunity lookup.

• Apex Trigger: Possible, but unnecessary custom code for a straightforward automation requirement.
• Workflow Rule: Cannot create a related custom record.
• Process Builder: Could create a record, but Flow is Salesforce’s preferred and more capable declarative automation tool.

• The explanation states that Traffic Analytics can be enabled by a user with one of these subscription-level roles:

• Question 34 — Network Contributor: Yes
• Question 35 — Owner: Yes
• Question 36 — Reader: Yes, according to the stated explanation and documentation

• Cutover: The old system is replaced immediately. It may be fast, but any failure can cause significant disruption.
• Phased: The system is introduced in stages, which reduces implementation risk but may prolong the transition.
• Pilot: The system is first deployed to a limited group or location. This is useful for testing but does not necessarily minimize downtime for the entire organization.

• According to the provided answer key, the four options are: Upload File, User Criteria, HR Profiles, HR Criteria (options B, D, F, G).

• Upload File: Filter by a file you upload (e.g., CSV) that provides data for bulk case creation.
• User Criteria: Filter by criteria related to users (e.g., role, department) to select target users.
• HR Profiles: Filter by HR profile data associated with users.
• HR Criteria: Filter by HR-related criteria or attributes.

• Amazon Cognito is designed for customer-facing apps to handle user sign-up, sign-in, and access control, and it can federate identities from social providers (Facebook, Google, etc.) or enterprise IdPs via SAML/OpenID Connect.
• You can configure a Cognito User Pool and connect social identity providers, then use tokens (JWT) to authorize backend API calls.

• AWS Directory Service is for connecting your AWS apps to an existing directory (like Active Directory) for enterprise users, not social login for customer apps.
• AWS IAM is for managing access to AWS resources, not end-user authentication for your website.
• AWS IAM Identity Center (AWS SSO) provides SSO for AWS accounts and enterprise apps, not typical social logins for consumer-facing websites.

• Who performed the action
• What action occurred
• When it occurred
• Where it originated
• Whether it succeeded or failed

• Investigating suspicious activity: Important, but investigation depends on having adequate audit data first.
• Storage allocation: Necessary for retention, but storage does not help if the records lack meaningful details.
• Actions after audit failure: Part of operational planning, not the primary assessment of the application’s audit capability.

• 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.

• Mesh: WAPs communicate wirelessly with one another, often to extend coverage without wired connections. It does not specifically describe centralized WLC management.
• Point-to-point: Connects two specific devices or locations.
• Ad hoc: Wireless devices communicate directly with one another without an access point.

• Correct answer: A
• What this is saying: You need to write a Transact-SQL query that uses REGEXP_SUBSTR to extract the ID from MessageText, and you should apply STRING_ESCAPE(MessageText, 'json') before calling REGEXP_SUBSTR.

• MessageText may contain JSON characters (quotes, backslashes, etc.). Escaping the JSON content first ensures the string you pass to the regex is safe and won’t confuse the regex engine.
• The pattern you apply with REGEXP_SUBSTR would then extract the first substring that matches your ID pattern from the (escaped) text.

• Example (conceptual):

• The question implies REGEXP_SUBSTR is available in this environment; some SQL Server and Fabric contexts don’t expose it natively in all versions. If REGEXP_SUBSTR isn’t available, you’d need an alternative approach (e.g., using built-in regex-like capabilities or CLR/UDFs).
• If you need the ID specifically from the first paragraph, you might first isolate the first paragraph and then apply REGEXP_SUBSTR, or compose a single pattern that anchors to the first paragraph.

• 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.

• Multi-factor authentication
• A secure password change for users whose credentials may be compromised

• The correct option is A: Data architecture.

• Why: In the AWS CAF, the Platform perspective covers the technical foundation and architecture that enable cloud workloads to run reliably and efficiently. This includes how data is modeled, stored, and accessed across the enterprise—the core of data architecture.

• Quick mapping for the other options:

• S3 Versioning stores all versions of an object. If an object is overwritten or deleted, you can recover the previous version using its version ID.
• This protects against accidental deletion or overwriting because the original data remains accessible as an older version.
• How to enable:

• Practical notes:

• S3 Lifecycle rules: automate moving/expiring data, not specifically protection against deletion.
• S3 bucket policies: control access but don’t inherently preserve previous data.
• S3 server-side encryption: protects data at rest, not against deletion/overwrite.

• B — AWS DataSync: Transfers data between storage systems, such as S3, file systems, and on-premises storage. It is not a marketplace or catalog for third-party datasets.
• C — Kinesis Data Streams and CodeCommit: CodeCommit is a source-code repository, not a third-party data provider. Kinesis is for streaming data ingestion.
• D — Kinesis Data Streams and ECR: ECR stores container images, not datasets. Kinesis does not provide access to ECR data as an external dataset source.

• 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.

• Hardware and infrastructure
• System software
• Networks and communications
• Technology platforms and services

• Business Architecture: Defines business strategy, organization, functions, and processes.
• Data Architecture: Defines the structure and management of enterprise data.
• Application Architecture: Describes application systems and how they interact to support business and data processing.

• cloud applications only
• all Web traffic including cloud applications

• Cloud applications only: Only traffic to cloud apps is steered to Netskope for inspection/enforcement; other traffic bypasses.
• All Web traffic including cloud applications: All web-bound traffic, including cloud app traffic, is steered to Netskope.

• Browser isolation, Web traffic only, or a vague “traffic only” option are not the standard two steering modes.
• These two configurations let you decide what traffic Netskope analyzes in real time and what is bypassed.

• The “Answer(s)” field lists B and C (likely incorrect). The explanatory text correctly describes cloud applications only and all Web traffic including cloud applications as the two configurations.

• Event | search "error"
• Event | where EventType == "error"
• search in (Event) "error"

• Pay-as-you-go in Azure is an operating expense (OPEX) model, not an “elastic” expenditure model.
• Elastic or scalable terms describe capacity planning, not the cost category. The cost should be treated as OPEX since you pay for usage each month.
• The parallel question (Question 12) shows the correct approach is using an operational expenditure model.

• 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.

• Why: Table.Profile returns a per-column profile that includes statistics such as count, null count, distinct count, and standard deviation. It also provides min/max and average where applicable, which matches the requested metrics (Count, Average, Null count, Distinct count, Standard deviation).
• Syntax: Table.Profile(table as table, optional additionalAggregates as nullable list) as table
• How it helps: After running Table.Profile on your table, you can extract the per-column stats you need and display them in your semantic model or report.

1. Define Power Platform DLP policies
2. Add custom prompt modifications
3. Conduct adversarial testing

1. DLP policies first

1. Prompt modifications second

1. Adversarial testing last

• The correct answer is D: All of the above.

• Snowflake Web Interface (UI): You can create and manage Virtual Warehouses from the UI (resize, suspend/resume settings, etc.).
• SQL commands: You can create and alter warehouses with DDL like CREATE WAREHOUSE and ALTER WAREHOUSE.
• Data integration tools: ETL/ELT tools can create/manage warehouses by connecting to Snowflake and issuing the appropriate commands or using their config to specify a warehouse.

1. Create a new AMI or copy the existing AMI while specifying EBS encryption and an appropriate AWS KMS key.
2. This creates an encrypted AMI backed by encrypted EBS snapshots.
3. Copy the encrypted AMI to the destination Region, using a KMS key available there.
4. Launch the application stack from the encrypted AMI.

• B: AWS KMS does not encrypt an existing unencrypted AMI in place. You must create an encrypted copy.
• C: AWS Certificate Manager manages TLS certificates, not EBS or AMI encryption.
• D: Enabling encryption by default affects newly created EBS volumes and snapshots; it does not encrypt an existing unencrypted AMI during copying.

• Domeny tworza restrykcjony razem z typem. Wykorzystujesz je w kolumnach, aby miec spójna walidacje danych w wielu miejscach.
• To nie jest pelny niestandardowy typ z wlasnym input/output funkcjonowaniem. Aby stworzyc typ z wlasnym I/O i operacjami, uzylbys CREATE TYPE (lub rozszerzen w C). Domeny to uproszczona forma ograniczen na istniejacy typ.

• CREATE DOMAIN positive_int AS integer NOT NULL CHECK (VALUE > 0);
• CREATE TABLE orders (id serial, qty positive_int);

• latwo wymuszaja wspólne reguly dla wielu kolumn/naglówków,
• zmiana regul w jednym miejscu (domena) automatycznie wplywa na wszystkie kolumny ja uzywajace.

• Correct answer: Power BI dataset

• The scenario says the data model already contains several measures and you want to create a report from the existing data with minimal development. Reusing a published Power BI dataset lets you inherit the existing measures and data model, so you don’t have to recreate them.
• How to do it: In Power BI Desktop, use the connector Power BI datasets (Get Data > Power BI datasets) and connect to the existing dataset, then build visuals using the pre-defined measures.
• Why the other options are less suitable:

• Quick context: In a three-tier network (Access, Distribution, Core), roles are:

• Why A is correct: The Distribution layer runs Layer 2 and Layer 3 technologies. It often handles VLAN access (L2) and can perform inter-VLAN routing or connect to the core (L3). So it makes sense for the distribution layer to support both L2 and L3.

• Why B is correct: The Core layer is designed to maintain continuous connectivity when devices fail. It is built for high availability and redundancy, providing multiple paths so the network remains reachable even if some components fail.

• Why the others are not correct:

• Goal: serving a static website globally with minimal latency.
• Why C works: CloudFront is a Content Delivery Network (CDN) that caches content at many edge locations around the world. When users request the site, CloudFront serves cached copies from the nearest edge location, greatly reducing latency. It also reduces load on your EC2 origin by handling many requests at the edge.
• Why the other options aren’t as good:

• TCP is connection-oriented. It establishes a connection before data transfer using a three-way handshake (SYN, SYN-ACK, ACK), enabling reliable delivery, ordering, and flow control.

• UDP is connectionless. It sends datagrams without a prior connection and provides no guarantee of delivery, order, or protection against duplicates; any reliability is up to the application.

• B incorrectly states UDP uses acknowledgment packets; UDP has no built-in ACKs.
• C wrongly claims UDP provides reliable transfer and that TCP is connectionless.
• D misstates framing bits; neither protocol uses the listed TCP/UDP handshake bits in frames.

• Why: The data is unlabeled, so you can’t train a model with known input-output pairs. Unsupervised learning discovers structure in the data by grouping similar customers into clusters or tiers without labels.
• What it does: Clustering and segmentation (e.g., k-means, hierarchical clustering, DBSCAN, Gaussian mixtures) to form meaningful groups.
• Why the other options aren’t as suitable:

1. Get Data ? Folder in Power BI Desktop.
2. In Power Query Editor, expand the Attributes column to expose metadata such as hidden status and other file attributes.
3. Remove the Content column (and any other data columns you do not need).

• Name
• Extension
• Date accessed
• Date modified
• Folder Path
• Attributes
• Content

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.

• 25 — Traditional SMTP server-to-server mail transfer; not normally used for secure client submission.
• 110 — POP3, used to retrieve email and typically unencrypted.
• 143 — IMAP, used to access email and typically unencrypted.

• Answer: D. Select an IdP

• Why: To reduce the number of credentials across multiple SaaS apps, implement a single sign-on approach via an Identity Provider. The first step is choosing the IdP; once selected, you can enable SAML (A) or OAuth as supported by apps. Password vaulting (C) is not a true SSO solution, and B is not the foundational step.

• I can’t view the images, so I can’t tell which table is labeled as A in your screenshot. But here’s how to decide:

• How to identify the fact table:

• How to identify the surrogate key in the Patient table:

• Relationship:

• Correct answer: B) Context window.

• Why: The context window is the number of tokens the foundation model can process in a single inference. It sets the maximum length of the combined input (prompt) and the model’s output. A larger context window allows more content to be included in one prompt.

• How to use: Check the FM’s context window value and ensure your prompt length plus the desired completion stays within that limit. If needed, summarize or split input across multiple prompts.

• Why the other options aren’t correct:

• Quick tip: Verify the specific FM’s context window for Bedrock, since different models have different token limits.

• Topic: Conditional Access (CA) policy and MFA for Azure management.
• Policy name: Policy1, created with the template “Require multifactor authentication for Azure management.”
• What the template does: It enforces MFA when signing in to manage Azure resources (Azure management) for the users included in the policy.
• Who is included: The question lists Admin1, Admin2, Admin3, and Admin4 as the admins in the tenant. The template’s default scope for this scenario is to apply to those admin accounts (i.e., all four admins unless you explicitly limit the scope).

• CA policy for “Azure management” targets admin sign-ins.
• If the policy includes Admin1–Admin4, all of them must use MFA on their next sign-in (choice D).

sql 
GRANT ALTER ON SCHEMA::schemaA TO User1;

• TRUNCATE TABLE is a DDL operation, not a normal DELETE.
• Having DELETE permission on a table is not sufficient to truncate it.
• The minimum relevant permission is ALTER on the table.
• Granting ALTER on SCHEMA::schemaA allows the user to truncate tables within schemaA.
• It does not grant equivalent permissions on schemaB or schemaC, satisfying least privilege.

• Answer: False. Agents and managers CAN create knowledge articles from Community questions.

• Why: In ServiceNow, a Community question can be converted into a Knowledge article using the Create Knowledge (or Convert to Knowledge) action. This allows what customers asked to become a reusable article for others.

• How it works (high level):

• Permissions: This ability depends on having the right roles/permissions (e.g., agents or knowledge managers). If you don’t see the option, check your role assignments or the knowledge-management configuration.

• Quick take: If a question in Community is valuable for others, a trained agent can turn it into a Knowledge article, making it available for self-service.

• Global Unicast: These are the IPv6 addresses that are globally routable on the Internet. They’re allocated by Regional Internet Registries (RIRs) and can be reached from anywhere with proper routing (similar to IPv4 public addresses). Example ranges include 2000::/3.

• Link-local: fe80::/10. Used only on the local link; not routable beyond the directly connected network.

• Unique Local Addresses (ULA): fc00::/7. Private addresses for internal use within an organization; not publicly routable on the Internet (like IPv4 private addresses).

• Multicast: ff00::/8. One-to-many addresses used for group communication, not unicast routing.

• 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.