Huawei H13-629 Exam Prep
HCIE-Storage (Page 21 )

• Least privilege: Limits users to only the access necessary for their job.
• Background checks: Help identify potentially risky individuals before employment.
• Separation of duties: Ensures that one person cannot complete a sensitive process alone, reducing fraud and abuse.

xml 
<apex:page> 
    <apex:stylesheet value="{!URLFOR($Resource.MyStyles, 'styles/main.css')}" /> 
</apex:page>

• <apex:includeScript> is for JavaScript.
• <apex:includeStyle> is not a valid Visualforce component.
• <apex:require> is not the Visualforce tag used to load CSS.

• One network address
• Two usable host addresses—one for each router
• One broadcast address

• Router A: 10.2.1.1
• Router B: 10.2.1.2

• A Screen Flow can present a form that inspectors complete and submit on an Experience Cloud page.
• It can collect inspection findings, validate the input, and create or update records.
• An Autolaunched Flow has no user interface, so it cannot directly provide the form.
• A Related List only displays related records, and Record Detail is primarily for viewing or editing an existing record—not for a custom inspection submission form.

• Tokens: Individual units of text processed by a model, such as words, subwords, or characters.
• Models: Systems that learn patterns and generate predictions or outputs.
• Binaries: Data represented using the binary number system, not semantic representations.

• Relationship cardinality:

• Filter direction:

• Active versus inactive relationships: only active relationships automatically propagate filters.
• Blank or unmatched values: a fact-table value without a matching dimension row can create the model’s blank/unknown member.
• Uniqueness: the “one” side must contain unique values; duplicate keys generally belong on the “many” side.

• Reporting relationships
• Organizational structures
• Leadership styles
• Team maturity
• Individual and group behavior
• Communication and motivation

• Acquire Project Team: Focuses on obtaining the people needed for the project.
• Develop Project Team: Focuses on improving team skills, relationships, and performance.
• Manage Project Team: Focuses on tracking performance, resolving issues, and managing changes within the team.

• Matching hashes: The software likely has not changed.
• Different hashes: The software was modified or corrupted.

• Encryption: Protects confidentiality by making data unreadable; it does not primarily detect changes.
• Baselines: Define an approved system or configuration state, but they are not the specific integrity mechanism here.
• Tokenization: Replaces sensitive data with substitute values.

1. Yes — Microsoft Foundry provides a secure, governed environment for building and managing generative AI applications and agents. It brings together models, data, tools, evaluation, deployment, and monitoring.

1. Yes — Foundry is designed for enterprise workloads and supports scaling AI applications as usage grows. Scalability comes from the underlying Azure services and managed infrastructure.

1. Yes — Foundry can be used in solutions involving image recognition and computer vision. Applications can use vision-capable models and Azure AI vision capabilities for tasks such as image analysis, object detection, and OCR.

• Namespace: The namespace associated with the code where the checkpoint was set.
• Time: When the checkpoint was captured or executed.

• Exception: Exceptions are viewed through debug logs or execution results, not as the primary Checkpoints tab information.
• Debug Statement: System.debug() output belongs in the Logs tab. A checkpoint captures program state, such as variables and their values, at a specific point in execution.

• Suporta domínios personalizados.
• Oferece 50 GB de armazenamento — suficiente para os 10 GB de cada aplicação.
• Usa instâncias de computação dedicadas.
• Inclui balanceamento de carga entre instâncias.
• É o plano mais econômico entre as opções que atendem a todos esses requisitos.

• Due diligence: Investigating and evaluating a third party before entering into or continuing a business relationship.
• Attestation: An independent party provides assurance about an organization’s claims or controls. A SOC 2 examination is an example of an attestation engagement, but the analyst requesting and reviewing the report is performing due diligence.
• Internal audit: Reviews the organization’s own internal controls.
• Penetration testing: Actively tests systems for exploitable vulnerabilities.

• Denial-of-service: Prevents users from accessing a service; it does not normally redirect them.
• Social engineering: Manipulates people into taking an action, such as clicking a malicious link, but does not directly alter DNS resolution.
• ARP spoofing: Associates the attacker’s MAC address with another device’s IP address on a local network. It can intercept traffic, but the described website redirection is most specifically DNS poisoning.

• Box 1: No — The rule requires user.department to equal Engineering. Engineer does not match, so User1 is not in AU1. Admin1 cannot reset User1’s password.
• Box 2: No — Admin1’s role is scoped to AU1 and cannot manage users outside that AU.
• Box 3: Yes — Admin2 is a Global Administrator and can reset User3’s password.

• Microsoft manages the physical datacenter, hardware, and virtualization.
• You manage the virtual machine’s operating system, installed software, configuration, and data.
• You choose the VM size, storage, networking, and scaling options.

• SaaS: You consume a complete application managed by the provider, such as Microsoft 365.
• PaaS: You deploy applications without managing the underlying operating system or VM infrastructure, such as Azure App Service.

• Driver node: Coordinates Spark jobs and runs in the compute environment.
• Worker node: Executes tasks and processes data.
• Databricks Filesystem (DBFS): Provides storage access for data used by compute resources.

• state preserves the client’s original context, such as the specific idea URL the user requested.
• The portal sends that value in the OAuth authorization request.
• Salesforce returns it after authorization, allowing the portal to redirect the user to the original idea rather than the Ideas home page.

• Fine-tuning requires a properly formatted training dataset.
• For classification or instruction-style fine-tuning, examples are supplied in JSONL format.
• Each line represents one training example, typically containing the input prompt and the desired completion or label.
• The file must then be uploaded or made available to the Microsoft Foundry fine-tuning workflow.

• A: Prompt Flow is useful for prompt experimentation, but it is not required to start fine-tuning.
• B: You do not need to deploy the base model to an online endpoint before fine-tuning.
• C: Tracing supports observability and evaluation, but it does not prepare the fine-tuning job or dataset.

• A. Remove rows where Sales[Status] is Canceled

• E. Remove Sales[Canceled Date]

• B: Removing Sales_Date would remove information users need—the date portion.
• C: Changing Delivery_Time to Integer could alter its meaning or precision and is not necessarily safe.
• D: Splitting the date/time column creates additional columns rather than simply removing unnecessary data.

• Load balancer: Distributes application traffic; it does not protect switch MAC tables.
• IPS: May detect some attack traffic, but it is not the primary control for switch-port MAC flooding.
• NGFW: Filters routed network traffic, while this attack targets Layer 2 switching behavior.

• Azure Machine Learning Studio is designed to build, test, train, and deploy machine-learning models, including predictive analytics.
• Azure Cosmos DB is a globally distributed NoSQL database. It can store data used by an AI solution, but it is not the primary service for developing and deploying predictive models.
• Therefore, the appropriate recommendation is Azure Machine Learning Studio, as shown in Question 15.

Why this is correct

• Each user authenticates with their own Google account.
• Google manages the user’s SSH key association.
• IAM controls who can access instances.
• Access can be audited by user identity, so security can determine who accessed a VM.
• Granting the role to a Google group avoids managing permissions individually.

Why the others don’t apply

• A: A shared private key is difficult to distribute securely and cannot reliably identify which employee used it.
• B: Manually collecting and deploying keys on every instance is operationally inefficient and complicates auditing.
• D: A project-wide shared key has the same identity and key-management problems as option A. It also does not provide per-user accountability.

• End-user training: Important for recognizing phishing, but it depends on users consistently making the right decision.
• Installing antivirus rule updates: Helps detect malware, but may not stop phishing links or newly emerging threats.
• Disabling HTML in email content: Can reduce some email-based risks, but it is less practical and comprehensive than filtering web destinations.

• delta.logRetentionDuration
• delta.deletedFileRetentionDuration

• delta.deletedFileRetentionDuration controls how long physically deleted or obsolete data files are retained before they become eligible for removal by VACUUM. Set it to interval 30 days.
• delta.logRetentionDuration controls how long Delta transaction-log history is retained. Set it to interval 30 days to support audits and time travel for that period.

sql 
ALTER TABLE Catalog1.Schema1.Table1 
SET TBLPROPERTIES ( 
  'delta.logRetentionDuration' = 'interval 30 days', 
  'delta.deletedFileRetentionDuration' = 'interval 30 days' 
);

• Deploy five individual VMs: This does not create a VM scale set.
• Modify Availability Zones or Size settings: These actions do not create the required scale set and add unnecessary steps.
• VM orchestration mode: This is Flexible orchestration, intended for more individually managed VMs and mixed configurations. It is not the best choice for a straightforward group of identical instances.

• Normal or expected input
• Boundary values
• Invalid input
• Potential error conditions

• A is incorrect: it creates test code, not detailed test documentation.
• C is incorrect: it does not primarily integrate external testing frameworks.
• D is incorrect: executing tests requires your development environment or test runner.

• TLS passthrough: A TCP listener does not decrypt traffic. The client establishes TLS directly with the backend, so the backend can perform mutual TLS (mTLS) authentication.
• gRPC over TCP: gRPC commonly uses HTTP/2 over TLS, and an NLB can forward the underlying TCP connections without modifying them.
• Scalability: Registering the Pods as IP targets allows Kubernetes to add or remove Pods as the Horizontal Pod Autoscaler changes the workload. The AWS Load Balancer Controller updates the target registrations.
• Port 443: The NLB can forward TCP traffic on port 443 without terminating TLS.

• An ALB HTTPS listener terminates TLS at the load balancer, violating the requirement that traffic must not be decrypted before reaching the backend.
• Targeting the EKS node group's Auto Scaling group does not directly track dynamically scaling Pods.
• An NLB TLS listener also terminates TLS at the NLB, preventing end-to-end mTLS between the client and backend.

• Distinct values = 69

• Unique values = 4

• Virus signatures: Associated primarily with antivirus or antimalware tools.
• Security agent deployment: Usually handled by endpoint-management or endpoint-detection-and-response tools.
• Vulnerability scanning: Performed by vulnerability-management or vulnerability-scanning tools.

• The application stores data on Amazon EBS volumes, so the encryption should be applied directly to those volumes.
• EBS encryption uses AWS-managed cryptographic operations and is designed to provide encryption at rest with minimal performance impact.
• The volumes are created during initial deployment, so they can be configured as encrypted when provisioned.

• B: Moving data to an encrypted S3 bucket changes the storage design and does not encrypt the EBS data the application uses.
• C: A custom encryption algorithm adds application overhead and is unnecessary.
• D: Ephemeral disks are temporary storage and can lose data when instances stop or terminate. Encrypting only the AMI’s root volume does not protect data stored elsewhere.

• The load balancer provides the listener’s frontend IP address.
• The active SQL Server node must also respond to that same listener IP.
• Enabling Floating IP allows the listener IP to be preserved and handled correctly by the active replica.
• Without it, SQL connections may be sent to a node that cannot correctly claim the listener address.

• A health probe for the SQL Server port
• A load-balancing rule using the listener port
• Floating IP enabled on that rule

Manager role

DAX 
Country[Manager] = USERPRINCIPALNAME()

• Sales
• Human Resources

CFO role

• See sales for all countries
• See no Human Resources data

• Do not restrict the Country table or Sales table.
• Apply a filter to Human Resources that always returns false, such as:

DAX 
FALSE()

• Security groups
• Dynamic security groups
• Cloud-only or synchronized security groups

• Microsoft 365 groups
• Distribution groups
• Mail-enabled distribution groups

• A is incorrect: Flow Debugger is for debugging Salesforce Flows, not Trust Layer masking.
• B is incomplete/misleading: Requesting audit data may be part of reviewing the results, but collection and storage must first be enabled.
• C is correct: It describes the initial validation step.

• Accept: Acknowledge the risk and take no additional action.
• Transfer: Shift the risk or financial impact to another party, such as through insurance or a contract.
• Mitigate: Reduce the likelihood or impact using controls, such as firewalls, training, or backups.
• Avoid: Eliminate the activity that creates the risk.

• Limiting the number of MAC addresses learned on a switch port
• Allowing only specific, approved MAC addresses
• Taking action when the limit is exceeded, such as dropping frames or disabling the port

• /27 (255.255.255.224)

• /26 (255.255.255.192)

• /25: Creates only 2 subnets, not 3
• /28: Provides only 14 usable hosts per subnet

• ROUGE-N: matching word sequences, such as unigrams or bigrams
• ROUGE-L: matching the longest common subsequence
• ROUGE-Recall: how much of the reference content appears in the generated summary

• F1 score: A general classification metric based on precision and recall; not specifically designed for summarization.
• Perplexity: Measures how well a language model predicts text, rather than how closely a generated summary matches a reference.
• Fréchet Inception Distance (FID): Typically evaluates similarity between generated and real images, not text.

1. Append Table1 and Table2 as a new query

1. Select the product column in the appended query.

1. Choose Remove Rows > Remove Duplicates

• Penalty clauses (3): Set a financial consequence when the supplier fails to meet agreed performance standards. In commercial contracts, these must be drafted carefully because unenforceable penalties may be challenged; liquidated damages are often preferred.
• Service credits (4): Reduce the amount payable, or provide a credit, when the supplier misses SLA targets. They are a common remedy for service underperformance.

• Warranties (1): Usually provide assurances about quality, condition, or compliance, but they are not the normal direct remedy for missing ongoing SLA targets.
• Force majeure clauses (2): Excuse or protect a supplier from liability when exceptional events outside its control prevent performance. They do not compensate the buyer for ordinary poor performance.

• User1 (user1@contoso.com) — This is an external guest in the Fabrikam tenant. Assuming the guest uses email one-time passcode authentication, Azure AD emails a passcode to user1@contoso.com.
• User2 (user2@outlook.com) — An Outlook.com address can authenticate with a Microsoft account, so Azure AD uses that account’s authentication rather than sending an email OTP. The fact that User2 has never accessed Fabrikam resources does not by itself trigger OTP.
• User3 (user3@fabrikam.com) — This is an internal Fabrikam user, so the user signs in with the organization’s normal credentials and does not receive a guest OTP.

• A business-hours greeting
• An after-hours greeting
• A holiday greeting

• Weekday evenings/nights
• Saturdays and Sundays

1. Auto attendant 1

1. Auto attendant 2

• Liability accounts (2000–2999) would incorrectly require dimensions, although they should have none.
• Expense accounts (6000–6998) would incorrectly require Customer, which should be optional.
• Account 6999 needs a separate rule because it requires all four dimensions, including Customer.

• 2000–2999: no dimensions
• 4000–4999: Department and Division required; Project and Customer optional
• 6000–6998: Department, Division, and Project required; Customer optional
• 6999: Department, Division, Project, and Customer required

1. insert con; ? 1
2. Database.setSavepoint(); ? 2
3. update con; ? 3
4. Database.rollback(sp_admin); ? 4

• Dark web: A place where leaked credentials may be sold or shared, not usually the original source.
• Threat feeds: Collections of intelligence about threats, not a typical leakage source.
• State actors: A type of attacker, not an accidental corporate disclosure source.
• Vulnerability databases: Track known vulnerabilities, rather than leaked credentials.

1. Start with the number of devices: 260 usable addresses.
2. Use the formula:

1. Test the host-bit values:

1. IPv4 has 32 total bits:

• /24: 254 usable — too small
• /23: 510 usable — sufficient
• /22: 1,022 usable — more waste
• /21: 2,046 usable — even more waste

• A single summarized value, such as total annual sales
• Progress toward a defined target or goal
• Whether performance is below, near, or above the target

• Table: Displays detailed records or summarized rows, but not goal progress visually.
• Stacked Bar: Compares multiple categories and their parts.
• Donut: Shows how a total is divided among categories, not progress toward a target.

• Disable default accounts: Default or unused accounts may have known usernames or predictable settings, making them targets. They should be disabled, removed, or securely configured.
• Remove unnecessary services: Every running service creates potential vulnerabilities. Removing services the server does not need reduces exploitable entry points.

• Add the server to the asset inventory: Important for asset management, but not a hardening step.
• Document default passwords: Default passwords should be changed or eliminated—not documented for continued use.
• Send server logs to the SIEM: Valuable for monitoring and detection, but generally performed as part of logging/monitoring configuration.
• Join the server to the corporate domain: May be necessary operationally, but does not itself harden the server.

• When the MVP will be defined — the MVP should already be understood sufficiently when assessing the business case.
• What the MVP is — useful information, but not the key requirement tested here.
• That the MVP is the same as project viability — incorrect. The MVP helps test viability; it is not identical to viability itself.