Android AND-803 Exam Prep
Android Applications UI-UX Design and Monetization Techniques (Page 4 )

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• A — Improved management of storage space: Correct.

• B — Improved supplier relationships: Correct.

• C — Improved pricing decisions: Correct.

• D — Non-product-specific costs must be apportioned: Incorrect.

• E — Profitability of each customer group: Incorrect.

• B — The glass core component is encased in a cladding.

• D — Light is transmitted through the core of the fiber.

• BNC connectors are associated mainly with coaxial copper cabling, not standard fiber connections.
• Data does not pass through the cladding; the cladding helps reflect and contain the light.
• RJ-45 connectors are used with copper Ethernet cabling, not fiber-optic interfaces.

• Virus signatures: Primarily associated with antivirus or antimalware tools.
• Security agent deployment: Usually handled by endpoint-management or endpoint-security platforms.
• Vulnerability scanning: Performed by vulnerability-assessment tools, although a SIEM may ingest their results.

• 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.

• Honeypots are deliberately vulnerable or attractive systems designed to lure attackers. Legitimate users should not normally access them, so activity there can indicate a successful intrusion or lateral movement.

• A DNS sinkhole redirects requests for known malicious domains to a controlled internal system instead of the real destination. Security teams can monitor those requests and identify compromised devices attempting to contact command-and-control infrastructure.

• Tokenization: Replaces sensitive data with non-sensitive tokens; it is a protection method, not an attacker-detection method.
• CI/CD: Automates software development and deployment processes.
• Threat modeling: Identifies potential threats during design and planning.
• Data obfuscation: Makes information harder to understand, but does not directly detect infiltrators.

• Disabling a compromised account
• Blocking a malicious IP address
• Isolating an endpoint
• Creating or escalating an incident ticket

• Virus signatures: Primarily associated with antivirus or endpoint protection.
• Security agent deployment: Usually handled by endpoint-management or security-agent platforms.
• Vulnerability scanning: Typically performed by vulnerability-management tools.

• Allow the team to identify the causes of delays.
• Encourage improvements to processes, tools, and collaboration.
• Help remove impediments without dictating solutions.
• Protect quality and maintain a sustainable pace.

• A: An impediment log may help track issues, but merely recording them does not resolve the root causes.
• B: Directing teams toward solutions conflicts with the agile principle of a self-managing team.
• C: Adding impediments to the product backlog may delay their resolution and incorrectly treats them as product features.

• MFA adds an additional authentication factor, such as a phone notification or verification code.
• It helps prevent unauthorized sign-ins, even if a password is compromised.
• It does not encrypt, store, or protect credentials used by deployment processes.

• B. Conditional access policies

• D. Additional authentication factors

• Disciplinary actions: Punish users but do not prevent credential-based attacks.
• More regular account audits: Useful for finding inactive or excessive accounts, but less direct for stopping unauthorized logins.
• Content filtering: Primarily controls web or email content, not authentication.
• Review of permissions: Reduces privilege but may not stop unauthorized account access.

• True positive: The scan reports a vulnerability that really exists.
• False positive: The scan reports a vulnerability that does not exist.
• True negative: The scan correctly reports no vulnerability.
• False negative: The scan fails to detect a vulnerability that is actually present.

• The backup file is complete and uncorrupted.
• The required data can actually be recovered.
• The recovery process and documentation work as expected.
• Recovery objectives, such as acceptable downtime, can be met.

• Backup logs may show that a job completed, but not that the backup is usable.
• File size does not prove the contents are valid.
• Email notifications may confirm process completion, not recoverability.
• Appointing a DBA does not itself validate backups.

• Unsafe images: Requires image/content moderation before the image is processed.
• Hidden instructions embedded in images: These are indirect prompt injections contained in untrusted image content or extracted text, not necessarily in the user’s typed prompt.

• SOSL searches text across objects and is not appropriate for selecting Account table columns.
• describeSObjects() provides metadata about objects and fields, but it does not itself build or execute the query.
• Dynamic Schema binding supports runtime determination of object and field information, which is required here.
• REST API is unnecessary because this is being implemented in Apex.

• The job keeps 31 days of regular restore points. A backup from the week of January 1 is older than 31 days by March 20, so it is no longer expected to remain on the performance tier.
• It is also a weekly GFS full backup, retained for 14 weeks. Therefore, it is still protected and has not been deleted.
• In a Scale-out Backup Repository, older backups can be moved from the performance tier to the capacity tier—typically object storage—according to the configured offload policy.
• The archive tier is not selected because the question’s configuration does not indicate that the backup has been archived there.

• A: Build a custom API — possible, but unnecessary as the primary solution and potentially more costly to develop and maintain.
• B: Use pre-built chatbots — these generally answer questions but may not support the required custom workflow and real-time actions.
• C: Fine-tune with sample data — improves model behavior but does not provide live database access.
• D: Google Cloud databases + Vertex AI — stores current inventory data and lets an AI agent retrieve it and take actions based on up-to-date information.

• 25 – Traditional SMTP server-to-server mail transfer; often blocked for client submission and not inherently secure.
• 110 – POP3 for receiving email; unencrypted by default.
• 143 – IMAP for accessing email; unencrypted by default.
• 587 – Authenticated email submission and commonly secured with TLS.

text 
roles/owner

bash 
gcloud projects get-iam-policy PROJECT_ID

yaml 
bindings: 

members:

  - user:admin@example.com 
  role: roles/owner

• Project-wide SSH keys control VM SSH access, not IAM ownership.
• Identity-Aware Proxy permissions apply to IAP-protected applications, not the complete project IAM policy.
• Audit Logs record activity; they do not directly show the current set of role assignments.

• IaaS: You deploy and manage virtual machines, including the operating system and installed software. Azure manages the physical datacenter, hosts, and networking infrastructure.
• PaaS: Azure manages the infrastructure and operating system, while you deploy and manage your application code. Examples include Azure App Service and Azure Functions.

• Case Assignment Rules normalmente são avaliadas quando o caso é criado. Elas podem ser executadas novamente em uma edição somente se o usuário marcar “Assign using active assignment rules”; isso não acontece automaticamente apenas porque o caso foi fechado.
• Portanto, criar uma regra de atribuição não corrige os centenas de casos já fechados e não garante, por si só, que um caso será transferido antes de ser fechado.

• B — Usar uma ferramenta de dados: corrige os registros históricos já existentes, atualizando o Owner.
• D — Criar uma regra de validação: impede que um caso seja fechado enquanto ainda pertence a uma fila. Exemplo conceitual: se Status = Closed e o proprietário for uma fila, bloquear o salvamento.

• 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.

• Early units show relatively large time savings.
• Later units still take less time, but the reduction becomes progressively smaller.
• The curve therefore becomes flatter as production approaches 256 units.

• B: The reduction is not constant; learning normally diminishes over time.
• C: Time does not reduce at an increasing rate.
• D: A steady state may eventually be reached, but the question concerns the first 255 units while learning is still occurring.

• Response and resolution time frames
• Availability or uptime requirements
• Performance targets
• Support obligations
• Penalties for failing to meet requirements

• SOW (Statement of Work): Defines the project’s scope, tasks, and deliverables.
• MOA (Memorandum of Agreement): Describes cooperation and responsibilities between parties.
• MOU (Memorandum of Understanding): Records a general mutual understanding, usually without detailed enforceable service targets.

Box 1: No

• configure_azure_monitor() configures Azure Monitor and the OpenTelemetry pipeline.
• LangChain requires its own instrumentation or callback tracer, such as AzureAIOpenTelemetryTracer.
• You must pass the tracer to the LangChain execution configuration so chains, tools, prompts, and model calls become spans in Application Insights.

Box 2: Yes

text 
OTEL_SERVICE_NAME=customer-agent 
OTEL_SERVICE_NAME=invoice-agent

• Explain questions from the exam page
• Check whether the stated answer is technically correct
• Compare answer choices and eliminate distractors
• Clarify Azure AI concepts and terminology
• Point out when an answer key appears unreliable or when an image is missing

• Complex inputs: Queueable jobs can accept objects such as Map<Id, Project__c> and List<Account> through the class constructor.
• Long-running callouts: Implement Database.AllowsCallouts in the Queueable class.
• Confirmation/status: System.enqueueJob() returns an AsyncApexJob ID, which can be used to query job status and determine whether execution completed successfully.

apex 
public class ProjectQueueable 
    implements Queueable, Database.AllowsCallouts { 


    private Map<Id, Project__c> projects; 
    private List<Account> accounts; 


    public ProjectQueueable( 
        Map<Id, Project__c> projects, 
        List<Account> accounts 
    ) { 
        this.projects = projects; 
        this.accounts = accounts; 
    } 


    public void execute(QueueableContext context) { 
        // Perform the callout 
    } 
}

• @future(callout=true) supports callouts, but future methods accept only primitive values or collections of primitives—not complex sObjects or maps of sObjects.
• Database.AllowsCallouts
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