Nutanix NCM-MCI-5.20 Exam Actual Questions
Nutanix Certified Master - Multicloud Infrastructure (NCM-MCI) 5.20 (Page 7 )

• Ensure that only users who manage the production environment sign in to the Azure portal from a hybrid Entra-joined device and authenticate with MFA.

• Use Microsoft Entra ID Protection (Identity Protection) to enforce MFA enrollment:

• Update the existing Capolicy1 (a Conditional Access policy):

• Identity Protection MFA registration policy ensures users are enrolled in MFA (Box 1 choice).
• CA policy Capolicy1 with aGrant control of “Require MFA” enforces MFA during sign-in (Box 2 choice).
• Both work together with the hybrid-joined device requirement to satisfy the authentication/authorization rules.

• Apply the MFA registration policy to the production-management users.
• Apply the MFA grant to Capolicy1 for those same users/groups.

• Cross-account access is typically implemented with an IAM role. You create a role in the target account (where the resources live) and configure a trust policy that allows principals from the source account to assume that role.
• Users in the source account then assume the role (via Switch Role in the console or STS:AssumeRole) and receive temporary credentials with the role’s permissions to access the resources.

• IAM group: Groups exist inside a single account; they don’t grant cross-account access.
• IAM tag: Tags are metadata and do not grant access.
• IAM Access Analyzer: It analyzes and identifies public or cross-account access but does not grant access itself.

• 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.

• 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

1. Download the updated VPN client configuration package from the Azure VPN gateway.
2. Remove or update the existing VPN client configuration on the Windows 10 workstation.
3. Install the new package and reconnect.

• Answer: A. Use Amazon SageMaker Serverless Inference to deploy the model.

• Why: SageMaker Serverless Inference hosts the model and serves real-time predictions without you provisioning or managing servers. It scales automatically and handles deployment details.

• Why the others aren’t suitable:

• Quick example flow: web app ? SageMaker Serverless Inference endpoint ? model ? response.

• Reusing features across different models and teams
• Consistent feature definitions
• Managing feature versions and metadata
• Using features for both training and inference

• SageMaker Data Wrangler: Prepares and transforms data; it is not primarily a shared feature repository.
• SageMaker Clarify: Helps detect bias and explain model predictions.
• SageMaker Model Cards: Documents models, including intended use, risks, and evaluation results.

• A — conformant: Incorrect because one explicit requirement is violated.
• B — consistent: “Consistent” is not sufficient where the implementation contradicts a mandatory specification. The RPC mechanism is covered by the architecture, and the implementation differs from it.
• C — consistent: Incorrect reasoning: the RPC mechanism does have a defined architectural requirement, so conformance must be assessed.
• D — non-conformant: Correct because the implementation fails to follow the specified RPC/threading requirement.

• 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:

• The correct setting to configure is the Enrollment Status Page (ESP) profile.
• Why: ESP tracks the enrollment progress and logs during Autopilot provisioning. You can enable log collection within the ESP policy so that, if ESP times out, the user can collect and share the logs with support.
• Optional enhancement: In the ESP policy (or the Autopilot diagnostics settings), you can enable:

• Automatic enrollment settings: control how devices auto-enroll, not log collection.
• Windows Autopilot deployment profile: controls deployment steps but not ESP log collection.
• Device configuration profile: applies settings but doesn’t provide ESP log collection mechanics.

• What the HOTSPOT is testing

• The actual action you need on HyperV1

• Typical commands you’d use (depending on OS version)

• Why this matters for Q6

• Quick validation steps

• A private IP address on the virtual network
• An associated public IP address

• 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.

• Amazon GuardDuty: Detects suspicious activity and threats using security-related data sources; it is not primarily a software vulnerability scanner.
• Amazon Detective: Helps investigate and analyze the root cause of security findings after an event.
• Amazon Cognito: Provides user authentication and authorization for applications.

• Elicited and documented customer requirements
• Converted them into clear, measurable specifications
• Validated the requirements with the customer
• Used them as the basis for design, quality checks, and acceptance

• A: Requirements should reflect the customer’s needs—not the supplier’s standards.
• B: Iteration review planning does not replace proper requirements collection.
• D: A retrospective occurs after work is completed and is mainly for process improvement, not initial requirements definition.

• Short answer: The correct term is Anti-forensics (option D), not “Felony.”

• Why: The actions described—hiding files in slack space, changing file headers, placing suspicious files in executables, and altering metadata—are classic anti-forensics techniques. They’re used to hinder or obscure forensic analysis, not to label the act as a legal category.

• About the options:

• Note: The provided answer key lists B (Felony), which is misleading for this exam objective. The exam typically tests knowledge of forensics concepts, where anti-forensics is the correct category.

• What the scenario asks: You have a Power BI semantic model that pulls from multiple sources (Azure SQL Database and SharePoint Online), must support a single dataset for three reports, keep data current (daily refresh by 7 AM PT), and apply RLS to limit sales data by region. You need to choose a storage mode for the tables.

• Correct choice: Dual storage mode.

• Why Dual fits:

• Key concepts:

• Correct answer: All four statements are true (A, B, C, and D). The given key (A,B) is likely incorrect.

• A) Customers can change the size of the Warehouse after creation — Yes. You can resize a virtual warehouse after it’s created using ALTER WAREHOUSE ... SET WAREHOUSE_SIZE.
• B) A Warehouse can be resized while running — Yes. Snowflake supports online resizing; you can change the size without stopping queries.
• C) A Warehouse can be configured to suspend after a period of inactivity — Yes. You can enable auto-suspend with a delay (AUTO_SUSPEND).
• D) A Warehouse can be configured to auto-resume when new queries are submitted — Yes. You can enable auto-resume (AUTO_RESUME) so a suspended warehouse automatically resumes on new queries.

• Example commands:

• Even if a warehouse is resizing or auto-suspending, queries will be queued and then executed once the warehouse has the appropriate capacity.

• The user needs the chosen occasion to remain available as they navigate through the current shopping experience. Session scope stores data for the duration of the user’s session.
• Request scope data is cleared with each HTTP request; Page scope only lasts for rendering a single page; Content slots are for page/content presentation, not user data.
• Since you don’t want to persist the selection in system/custom objects, session scope is the right level: it preserves state across pages during the same session but isn’t stored long-term.

• Goal: Identify the host that originated the infection, then label each remaining host as infected or clean based on log evidence.

• Logs to review (across hosts and firewall):

• How to identify the origin:

• How to classify other hosts:

• Quick tip: use the Reset All option if you want to re-run the scenario and practice again.

• Correct options: C and D.

• The AWS Cloud Adoption Framework (CAF) security perspective focuses on capabilities to protect information and manage security risk.
• Observability (A) is primarily an operations/monitoring capability, not a core security capability under CAF.
• Incident and problem management (B) is IT service management/operations, not specifically a CAF security capability.
• Incident response (C) is a security-focused capability: detecting, containing, and recovering from security incidents.
• Infrastructure protection (D) involves applying security controls to protect the underlying infrastructure, which fits the security perspective.

• 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.

• Risk tolerance describes the organization’s overall risk appetite, not the risks themselves.
• Risk transfer is a treatment option (e.g., insurance), not a documentation artifact.
• Risk analysis assesses likelihood and impact but doesn’t establish ownership or thresholds in a formal register.

• The Well-Architected Framework has five pillars: Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization.
• Operational Excellence: how you run and improve your systems—monitoring, incident response, and evolving processes.
• Reliability: the ability of a workload to recover from failures, maintain uptime, and scale as demand changes.

• Availability (A) is not a pillar name; it’s an outcome that relates to Reliability.
• Scalability (C) isn’t a pillar name; scalability touches on Performance Efficiency.
• Responsive design (D) is not a pillar in the Well-Architected Framework.

• 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.

• Correct answer: D — AWS Migration Hub

• AWS Migration Hub provides a single location to track the progress of application migrations. It offers a centralized dashboard to view migration status across multiple tools and projects.

• AWS Application Discovery Service helps inventory and map on-prem applications and their dependencies, not a single progress tracker.
• AWS Application Migration Service (formerly SMS) performs the actual lift-and-shift migrations, but isn’t the centralized tracker itself.
• AWS Service Catalog manages catalogs of IT services for self-service deployment, not migration progress.

• Ablauf: Er wird in der gleichen Transaktion ausgeführt, bei der z. B. ein Datensatz erstellt oder aktualisiert wird. Der Benutzer wartet, bis der Workflow abgeschlossen ist.
• Stufen: Kann vor dem Vorgang (pre-operation) oder nach dem Vorgang (post-operation) laufen.
• Zweck: Sofortige Validierung oder Anpassung von Daten, ggf. auch das Verhindern eines Vorgangs, wenn Bedingungen nicht erfüllt sind.

• Automatisierte Flows (Power Automate, automatisierte/ Background Flows) laufen asynchron im Hintergrund, nachdem der Trigger erkannt wurde, und blockieren den Benutzer nicht.

• What the question asks: Identify the three types of tolerances used in accounting (in SAP FI) for automatic processing and postings.

• The given correct set (A, C, D) corresponds to:

• Why not B (Special account tolerance groups)? “Special account tolerance groups” is not a standard SAP term for tolerance groups. The common categories above are the ones SAP typically uses for automatic postings and clearings.

• Quick tip: Tolerance groups define the maximum allowed difference; if a difference exceeds the limit, manual intervention is required.

• You provision the virtual machine.
• You manage the guest operating system, applications, and configuration.
• Azure manages the physical servers, datacenter, and underlying virtualization infrastructure.

• The correct answer: C. Tokenization

• Why:

• Why the others are weaker:

• False statement: D — Local Variables from a Screen may be directly accessed from another Screen.

• Why:

• Quick checks on the other options:

• Post-Incident Review (A) is the after-action step used to capture lessons learned, identify process gaps, and drive improvements across the incident response lifecycle. This directly supports process maturity and a stronger security posture.
• Incident Analysis (D) focuses on investigating root causes during/after an incident, which is important but more of a diagnostic activity than a standalone baseline improvement to maturity.
• Fast Eradication (B) and Incident Containment (C) are tactical actions aimed at stopping the incident, not on maturing the process.

• Correct answer: D) Microservices using API

• Why:

• The diagnostic output shows that the protocol is TCP (proto=6) and the session state is 2.
• In FortiGate’s session output, state=2 maps to SYN_SENT. This means the TCP SYN has been sent but the handshake hasn’t completed yet.
• Therefore, the session is not ESTABLISHED, FIN/ACK-related states, or other states; it’s in SYN_SENT.

• Correct choices: A and D.

• Why not B, C, or E?

• Basic support does not include architectural/design assessments.
• Premier support includes advisory services such as architectural reviews/design assessments.

• The solution (subscribe to Premier support) does meet the goal. The correct choice should be Yes (A).
• The provided answer key showing B (No) is likely incorrect for current Azure support plans.

• Review iteration length: Changing duration does not resolve unclear requirements.
• Limit work in progress: Useful when excessive multitasking is the problem, but it does not directly clarify requirements.
• Review individual performance: The issue is a process and backlog-quality problem, not necessarily an individual performance problem.

• Correct answer: D) Amazon Aurora Serverless

• Aurora Serverless is serverless, so compute capacity scales automatically and can pause during idle periods. This minimizes ongoing administration and you pay only for actual usage, which is ideal for infrequent workloads.
• PostgreSQL on EC2 requires full OS and DB administration.
• RDS for PostgreSQL is managed but still involves provisioning capacity and some maintenance tasks.
• Aurora PostgreSQL (non-Serverless) is managed but requires you to manage capacity, though with some automation; it’s not as hands-off as Serverless for intermittent usage.

• 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.

• The AWS Support Concierge is a specialized team within Enterprise Support whose primary role is handling billing and account questions and helping with account setup and getting started.
• They are not the source for architecture guidance or development assistance; those services are provided by Technical Account Managers (TAMs) or Solutions Architects as part of Enterprise Support.
• For technical support cases, customers typically interact with AWS Support engineers or the TAMs, not the Concierge. The Concierge may route or coordinate related requests, but they don’t provide the technical resolution.

• What Concierge does: billing and account inquiries, onboarding help, coordination with AWS support.
• What Concierge does not do: provide architecture/design guidance or in-depth technical support case resolutions.

• What it asks: Create a lifecycle rule so that blobs in container1 are moved to the lowest-cost tier after 90 days.

• Correct selections:

• tierToArchive moves blobs to the Archive tier, which is the lowest cost storage tier.
• daysAfterModificationGreaterThan: 90 ensures the move happens 90 days after the blob was last modified (i.e., after 90 days of inactivity).

• How to scope the rule to container1:

• tierToArchive = move to Archive (lowest cost)
• daysAfterModificationGreaterThan = 90
• prefixMatch = scopes the rule to blobs within a specific container/path.

• The options:

• If the account name includes the parsed search string, show the element; otherwise hide it.
• In CSS, to show an element you can set display to a visible value (commonly 'block' for block-level elements), and to hide you set display to 'none'.

• The ternary should map true to a visible display value and false to 'none'.
• Therefore the placeholder should be replaced with 'block' : 'none' (so the code becomes: accountName.includes(parsedSearchString) ? 'block' : 'none').

• There are several typos in the snippet (e.g., quesrySelectorAll, toLOwerCase, Style.display). In a working version you’d also fix those to document.querySelectorAll, account.innerHTML.toLowerCase(), and account.style.display.

• Answer: C — Spot Instances

• Why: The workload is a test environment that can be interrupted and does not need to run continuously. Spot Instances let you bid on unused EC2 capacity at a deep discount, making them the most cost-effective option for interruptible workloads.

• Why not the others:

• Quick tips:

• administrators — Full access to switch configuration and REST API functions; excessive for this requirement.
• sysadmin — Intended for highly privileged system administration, not basic monitoring.
• helpdesk — More limited and focused on troubleshooting/support functions; it does not match the stated default role and level-1 requirement as directly.

• On-prem you generalize and capture the VM as a VHD.
• Upload the VHD to Azure with Add-AzVhd.
• Register the VHD as an image in Azure with Add-AzImage (or New-AzImage) so it appears as a selectable image.
• Create new VMs from that image (e.g., with New-AzVM -Image ...).

• 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.

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.

• 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.

• Sales Processes define the set of Opportunity stages for a given workflow.
• Record Types let you have different data models (different fields and picklist values) on the same object.
• Page Layouts control which fields are shown/required for each record type.

• Create three Sales Processes so each team can use its own stages.
• Create three Record Types so each team has its own fields and picklist values.
• Create three Page Layouts so each record type shows the appropriate fields.