SAP C_THR89_2411 Exam Actual Questions
SAP Certified Associate - Implementation Consultant - SAP SuccessFactors Workforce Analytics - Functional (Page 11 )

• Increase/decrease the number of epochs: Changes how long training runs, but does not reuse a pre-trained model.
• Unsupervised learning: Trains from unlabeled data and does not specifically address adapting an existing model.

• 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.

• 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.

• What it says: you can add a cost when you adjust inventory, and that cost is posted automatically to a specific GL account.
• Reality: yes, you can adjust both quantity and value via an inventory adjustment journal. The cost on the journal line affects the inventory value.

• The general ledger postings are not arbitrary. the actual accounts used are determined by your item posting group and the system’s posting definitions. In practice, the adjustment debits/credits the appropriate inventory-related accounts (e.g., Inventory asset and a related offset such as an adjustment or COGS account) based on configuration.
• So, the cost change does not go to a single “manual” GL account you pick per line unless your posting setup maps to that account.

• The concept is true (you can adjust cost and have GL impact), but the claim that it posts to a single, specific GL account is oversimplified—the accounts come from your posting configuration.

• What wipe does: A factory reset that erases all data, apps, and settings and returns the device to the OOBE. It removes the device from management and resets identity.
• Why not for this scenario: The goal is to repurpose the same device to a new user with Autopilot. Autopilot Reset keeps the device’s Azure AD/Intune identity and re-provisions the device for the next user without a full wipe.
• What Autopilot Reset does: Removes user data and apps but preserves device identity and management connection, then reapplies the Autopilot provisioning for the next user.
• When you’d use wipe instead: If you’re selling or permanently discarding the device, or you truly want to scrub all traces and start fresh without re-enrolling.

• A separate scope using a /32 subnet: A /32 identifies one host, but it is not a practical DHCP scope for this purpose.
• A static IP within the DHCP range: This can cause an IP address conflict if DHCP assigns that address to another device.
• SLAAC: Used for automatic IPv6 address configuration, not for assigning a predictable IPv4 address through DHCP.

• User1 can sign in because the account is cloud-only. It does not depend on the on-premises domain.
• User3 can sign in because the account uses Password Hash Synchronization (PHS). Azure AD has a synchronized password hash and can validate the sign-in even when connectivity to on-premises Active Directory is unavailable.
• User2 cannot sign in because the account relies on Pass-through Authentication (PTA). PTA sends the authentication request to an on-premises PTA agent, which must contact a domain controller. With the internet connection from on-premises lost, that validation cannot occur.

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.

• Custom domains
• 10 GB storage per web app
• Each app runs on dedicated compute
• Load balancing between instances is included
• Costs minimized

• Answer: A (Standard)

• Why:

• Note: In App Service, multiple apps in the same plan share compute resources. If you truly need isolation per app, you’d typically use separate App Service Plans, which increases cost beyond a single Standard plan.

• Answer: Data enhancement.

• Why: Augmenting gold-layer tables with an additional dataset is enriching or enhancing the existing data to support the ad-hoc analysis. The other options don’t capture the idea of adding external data to improve the dataset (ad-hoc improvements = tweaks, last-mile dashboarding = building dashboards, last-mile ETL = ETL steps at the end of the pipeline). In practice, this is often also called data enrichment.

• Answer: The correct first step is to define a new SOC role for Company A in Google SecOps.

• Why this is right:

• Why the other options are less suitable as the first step:

• Practical note:

• A. IDS attack signatures: An IDS primarily detects suspicious network activity and usually alerts rather than directly scanning and blocking uploaded files.
• C. Load balancer: Distributes traffic among servers but does not inspect files for malware.
• D. WAF: Protects web applications from attacks such as SQL injection, cross-site scripting, and some malicious requests. It is not primarily a PDF-malware scanning solution.

• A) configure matching hold and delay timers

• B) configure matching key-strings

• C) configure matching priority values

• D) configure unique virtual IP addresses

• In Microsoft Entra (Azure AD), admin roles can be scoped to either the entire directory (tenant) or to an Administrative Unit (AU). To assign a role at an AU scope, the user must be a member of that AU.

• Roles in question: Security Administrator and User Administrator can be scoped either to the Directory or to a specific AU.

• User1 is a member of AU1. Therefore, User1 can be assigned either at the AU scope (AU1) or at the Directory scope (global).

• User2 is not a member of AU1. Therefore, User2 cannot be assigned at the AU scope; the valid scope for User2 is only the Directory scope.

• User1: can be assigned at AU1 and at Directory scopes.
• User2: can be assigned only at the Directory scope.

• 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.

• 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.

• Correct answer: D and E (Permanent table and Materialized view)

• Why: Time Travel and Fail-safe apply to permanent objects and materialized views. If a permanent object or a materialized view is dropped, you can recover it within the Time Travel retention period; after that, Snowflake’s Fail-safe provides a further, limited recovery window.

• Why the others are incorrect:

• Answer: D

• The strongest security comes from enforcing access at the storage layer. An IAM policy scoped to the Cognito identity prefix restricts each user to their own S3 prefix (folder), so users can only access their own files regardless of client or server code.
• This per-user isolation reduces risk of cross-user data access and is more robust than UI validation or Lambda/API validation alone.
• Implementation note: attach a policy to the Cognito identity role that allows actions on arn:aws:s3:::your-bucket/${cognito-identity.amazonaws.com:sub}/* (per-user prefix). Ensure TLS in transit and enable at-rest encryption (SSE-S3 or SSE-KMS). Use multipart upload for large files up to 300 MB.

• A — IDS attack signatures: An IDS generally detects suspicious network activity but does not necessarily scan uploaded PDF files or prevent them from being accepted.
• C — Load balancer: Distributes traffic among servers; it does not inspect files for malware.
• D — WAF command-injection blocking: A WAF can help block web attacks such as command injection, SQL injection, and cross-site scripting, but this option does not specifically address malicious PDF uploads.

• A) MTU mismatch: OSPF neighbors must exchange Hello packets with a compatible MTU. If MTUs differ, the neighbor conversation fails and the adjacency cannot become Full.

• B) Incorrect subnet mask: Routers must be in the same IP subnet on the connected link to form a neighbor relationship. A subnet mismatch prevents Hello packets from being considered valid on the same network.

• D) Area ID not the same: Neighbors must share the same Area ID. A mismatch stops adjacency from forming beyond the 2-Way state.

• E) Different metric set on each end of the link: Cost differences do not prevent OSPF adjacency; they affect routing decisions, not neighbor formation.
• F) Router ID not defined: OSPF can auto-choose a router ID; an undefined ID is not a prerequisite for adjacency to reach Full.

• 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: UBA (A)

• Why: UBA (User Behavior Analytics) analyzes user activity, builds baselines of normal access patterns, and flags deviations (e.g., accessing sensitive projects not related to the user’s role). This insider-threat detection is exactly what the scenario requires.

• Why not the others:

• 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: Making business cases for improvement action

• Continual Improvement focuses on identifying and planning improvements and ensuring they’re funded and prioritized. Creating a business case for an improvement action is part of justifying and obtaining support/resources to implement improvements.
• A (Identifying the cause of incidents) aligns with Problem Management.
• B (Authorizing changes) aligns with Change Enablement.
• C (Logging/managing incidents that result in improvement opportunities) aligns with Incident Management, not Continual Improvement.

• Correct answer: D — use the same hashing algorithm as the sender's to create a numerical representation of the file.

• Integrity is verified by recomputing the hash on the received data and comparing it to the sender’s hash. This must use the same hash function; if you use a different algorithm, the digests won’t match even if the data is intact.
• The hash output is a fixed-length digest (a numerical representation). Whether you call it a “binary image” or a “numerical representation,” the key is that you generate the same type of digest with the same algorithm and compare them.

• A: same algorithm but the result is described as a binary image instead of a digest; you still compare the digest, but the phrasing is less precise.
• B/C: using a different algorithm would produce a different digest, causing false mismatch or failure to verify integrity.

• Correct answer: D (Special category data)

• Why:

• Quick notes:

• AWS IoT Greengrass supports local ML inference using models trained in Amazon SageMaker.
• The model and inference code run on the factory’s local server, so processing continues even when internet connectivity is unavailable.
• A Greengrass component can:

• This provides low latency and avoids sending images to AWS for every inference.

• A: Uses AWS-hosted services and therefore depends on internet connectivity. It would fail during an outage.
• C: Snowball Edge is unnecessary for this use case and adds deployment complexity. A local Greengrass server is the intended edge-inference solution.
• D: Amazon Monitron is designed for monitoring industrial equipment health, not analyzing camera images with a custom SageMaker model.

• Two instances: Free/Shared do not provide the production-level multi-instance hosting you need. Basic/Standard support more than one instance, with Standard specifically meeting the scale requirement.
• SSL support: SSL (custom domain TLS) isn’t available on the Free tier and isn’t a driver for cost on paid tiers—but you’ll need a paid tier to map a custom domain (miami.weyland.com) and use SSL.
• Storage: Your site needs 12 GB. Free/Shared have very limited storage; Basic tier storage is typically smaller than what you need, while Standard provides substantially more storage capacity.
• Cost: Among the tiers that meet all requirements (two instances, SSL, sufficient storage), Standard is the lowest-cost option that satisfies them.

• You have a 42U rack and 19 servers that are each 1U tall. To maximize airflow while fitting all servers, allocate the largest uniform space per server that still fits: floor(42 / 19) = 2U.
• 19 servers × 2U = 38U, which fits in 42U (leaving 4U for additional spacing/blanking). If you tried 3U per server, you’d need 57U, which won’t fit.

• 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.

• 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.

• A — SCIM synchronizes changes to user attributes from the identity provider to GitHub.
• B — SCIM deactivates GitHub accounts when users are removed or deactivated in the identity provider.
• D — SCIM automates user provisioning when new users are added to the identity provider.

• C: SCIM does not delete organization repositories.
• E: SCIM does not generate REST API authentication tokens.
• F: SCIM handles identity lifecycle management, not repository permission configuration based on roles.

• Question 142: Security governance is MOST associated with which IT infrastructure component? Network / Application / Platform / Process
• Answer: D. Process

• Security governance is about how decisions are made, accountability, and oversight to ensure security objectives align with business goals. These are implemented through governance processes (policy development, risk management, assurance, monitoring, escalation, etc.).
• The other options (Network, Application, Platform) are concrete IT components; governance affects them, but it’s exercised primarily through the processes that govern how those components are managed and controlled.

• In governance-related questions, focus on the decision-making, accountability, and control processes rather than the underlying technology components.

• ?????? CPU
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• ???????????? throughput
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• A ??????? system software ????????????????????????????????? ??????????????????????????????????
• B ?????????????????????????? ????????????????????????? ?????????????????????????????
• D ????????????????????????? ?????????????? ?????????????????????????????????????????

• Answer: C – netstat -an

• netstat -an lists all active connections and listening ports with numeric addresses, without resolving names. This lets you spot DoS patterns such as a flood of connections to a specific port or many connections from a single or few IPs.
• The other options don’t help as directly:

• Windows: netstat -an and look for numerous ESTABLISHED connections to a service or many SYNs to a port.
• Filter by port, e.g., netstat -an | findstr :80, or on Linux: ss -tunap | grep ':80'.

• Netstat provides a snapshot. DoS detection often benefits from continuous monitoring, flow data, and IDS/IPS logs.

• Ethical red-teaming is adversarial testing aimed at uncovering weaknesses and potential exploits in an AI system before deployment.
• A (improving accuracy) is not the primary?? of red-teaming.
• B (simulate model risk scenarios) is related but narrower; red-teaming centers on finding vulnerabilities and risk exposure, not just simulating risks.
• D (ensure compliance) is not the main goal of red-teaming.

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• Alice is co-resident on the same physical host and exploits shared hardware (the processor cache) to infer secrets. This is the classic definition of a side-channel attack—information leakage through implementation details (like timing or cache behavior) rather than by breaking a protocol or injecting code.

• Observing cache timing or access patterns to deduce cryptographic keys or plaintext data from the victim VM.

• Man-in-the-cloud attack: targets cloud trust/auth, not local hardware sharing.
• SQL injection: exploits input to run SQL commands, not a VM/caching vector.
• Service hijacking: takes control of a service, not about covert data leakage via shared hardware.

• Notice phrases like “shared hardware resources,” “co-resident,” or “cache”—these indicate a side-channel vector.

• A private IP address on the virtual network
• A public IP address associated with its IP configuration

• 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.

• Answer: A — EC2 Image Builder

• Why: EC2 Image Builder is AWS’s fully managed service designed to automate the creation, testing, and ongoing management of custom EC2 AMIs. It lets you build image pipelines that start from a base image, apply software/components, run tests, and publish/distribute the resulting AMIs across regions or accounts.

• How it works (high level):

• Why not the other options:

• Quick tip: Use EC2 Image Builder to reduce manual image maintenance and drift, and to enforce consistent, tested base images across environments.

• IPv6 address types you’ll typically see:

• Unique Local Addresses (ULAs)

• If an address begins with fdXX:… or fc00:…, place it under “Unique Local Address” (ULA).
• If it begins with 2000::/3, place it under “Global Unicast.”
• If it begins with fe80::, place it under “Link-local.”
• If it begins with ff00::, place it under “Multicast.”

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

• Correct answer: B — A reservation for the server based on the MAC address.

• Why this is the best choice:

• Why the other options are less suitable:

• Quick takeaway: Use a DHCP reservation to give the file server a fixed IP while still benefiting from centralized DHCP management.

• Why: If an application on EC2 needs to call other AWS services, using an IAM role (attached to the EC2 instance as an instance profile) provides temporary, automatically rotated credentials. This avoids embedding access keys in the application.
• How it works: Create a role with the minimum required permissions, attach it to the EC2 instance, and let the AWS SDK used by the application retrieve credentials from the instance metadata service. The credentials rotate automatically and are scoped to the policy you define.
• Why not other options:

• In Spark, an executor is a JVM that can have multiple cores. Each task can consume some CPUs (spark.task.cpus).
• The executor’s resources are effectively partitioned into slots, where each slot can run one task. The number of slots per executor is roughly spark.executor.cores / spark.task.cpus.
• Therefore, multiple tasks can run in parallel within the same executor (via these slots). So the statement “Tasks run in parallel via slots” is correct.

• A: A slot is not another name for an executor; a slot is a unit inside an executor.
• B: There’s no requirement that there must be fewer executors than tasks; tasks can be scheduled over time across the available slots.
• C: An executor can run more than one core; it’s not limited to a single core.
• D: There isn’t a rule that there must be more slots than tasks; tasks can wait if slots aren’t available, and you can have equal or even fewer slots than concurrent tasks.

• Answer: Internal load balancers (ILB) — option C.

• An ILB has a frontend IP address that must be a private IP within the subnet’s address space. You pick this IP when you create the ILB, and it can be Static or Dynamic.
• Other options don’t require a per-subnet IP:

• 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.

cmd 
powershell.exe -ExecutionPolicy Bypass -File C:\Scripts\Configure-VM.ps1

• GPO logon script: Runs only when a user logs on, so configuration may be delayed and is user-dependent.
• GPO startup script: Can work, but requires the VMs to be domain-joined and introduces GPO dependency. It is not specifically tied to Windows deployment.
• Place scripts in a VHD: Merely makes the files available; it does not execute them.

• 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.