UiPath UiADAv1 Exam Actual Questions
UiPath Automation Developer Associate v1.0 (Page 3 )

• A: True. You can change the size of a Virtual Warehouse after creation (via UI or ALTER WAREHOUSE).

• B: True. A warehouse can be resized while it’s running; the resize will take effect without needing to stop queries.

• C: True. A warehouse can be configured to suspend after a period of inactivity (AUTO_SUSPEND).

• D: True. A warehouse can be configured to auto-resume when new queries are submitted (AUTO_RESUME).

• Self-signed certificate: Causes a certificate warning, not incorrect IP resolution.
• Nameserver record: A DNS record problem would typically affect multiple users, not just one.
• IP helper: Relays DHCP or other broadcast traffic between networks; it does not control website name resolution.

• This is a lookup relationship. Salesforce does not cascade access from a child (Opportunity) to its parent (Account) via implicit sharing.
• To view the Account, the user must have explicit access to the Account (via its OWD/sharing, or object permissions).

• The user has Read/View (or higher) on Account via profile/permission set.
• Manual sharing or a sharing rule grants that Account to the user.
• The Account is exposed by a broader permission like View All/Modify All on Account.
• Role hierarchy with Grant Access Using Hierarchies could grant access to Accounts owned by others, if applicable.

• Answer: B — Improve employee training and awareness

• Why this is correct:

• Why the other options are less effective here:

• Quick practical note:

• Users retain their existing usernames and passwords.
• Existing accounts can be used to access Azure-based resources.
• Administrators avoid manually recreating thousands of accounts.
• The transition is less disruptive before the on-premises data center is retired.

• Multi-pass wipe: Overwrites the drive’s existing data multiple times, making recovery much more difficult while preserving the drive’s functionality.
• Single-pass wipe: May be sufficient in some modern sanitization standards, but is presented here as less secure than multiple overwrites.
• Degaussing: Uses a strong magnetic field to disrupt data. It can render the drive unusable or unreliable, reducing its resale value.
• Pinning: Is not an appropriate data-sanitization method.

• Approval publish: Request approval from a manager of the knowledge base before moving the article into the publish state.
• Instant Publish: Immediately publishes a draft article without requiring an approval.
• Instant Retire: Immediately retires a published article without requiring an approval.
• Retire Knowledge: Moves a knowledge article to the retired state.

• These are the base knowledge workflows that control how articles move between states (Draft, Published, Retired) and whether approvals are required.
• The other options describe different lifecycle actions, but these four cover the standard publish/retire workflows in ServiceNow.

• 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.

• The standard Enterprise Architecture domains are: Business, Data, Application, Technology (BDAT).

• A: Business, strategy, application and technology — includes business and application/tech but uses “strategy” instead of data.
• B: Zachman, TOGAF, Cobit, and Heath architectures — names frameworks, not domains.
• C: Business, data, infrastructure and technology — has business, data, and technology; lacks a distinct application domain (uses “infrastructure” instead).
• D: Process, database, software and technology — covers data (database), application (software), and technology, but omits business.

• The four BDAT domains (business, data, application, technology) is the conventional model you should study.
• None of the options perfectly lists all four BDAT domains. The closest are C (if you map infrastructure to technology) and D (data/application/technology but no business).

• 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.

• IPv6 address types:

• The block FF00::/12 is a subset of the multicast space, so it represents multicast addresses.
• Therefore, this block forwards packets to a multicast address (to multiple receivers) rather than to a single unicast address.
• The other prefixes are unicast and would deliver to a single interface.

• 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.

• Transact-SQL (T-SQL) is used to query relational data in Azure SQL Database, not telemetry data from monitoring services.
• To analyze monitoring data from Azure SQL Database Intelligent Insights and Azure Application Insights, you should use the Kusto Query Language (KQL) in Azure Monitor Logs/Log Analytics (and in Application Insights Analytics).
• Using KQL lets you query telemetry tables such as requests, dependencies, pageViews, and customEvents (from App Insights) and any integrated monitoring data you’ve ingested into Log Analytics.

• Ensure Intelligent Insights and Application Insights data is available in a Log Analytics workspace or accessible via Application Insights Analytics.
• Go to Azure Monitor > Logs (or Application Insights > Analytics) and write KQL queries, e.g.:

• Co to znaczy: transakcje zachowuja sie tak, jakby byly wykonywane jeden po drugim. Dzieki temu nie ma brudnych odczytów, niepowtarzalnych odczytów ani phantom reads.

• Implementacja: PostgreSQL uzywa SSI (Serializable Snapshot Isolation). W praktyce oznacza to, ze jesli wykryje konflikt miedzy transakcjami, jedna z nich zostanie zakonczona bledem “serialization failure” i trzeba ja ponowic.

• Zalózmy tabele orders(customer_id int, amount int).

• Transakcja T1:

• Transakcja T2, równoczesnie:

• T1 ponownie wykonuje to zapytanie:

• Geo-redundant storage (GRS) replicates data to a secondary Azure region, but the secondary copy is normally unavailable for read access.
• RA-GRS provides geo-replication and read-only access to the secondary region, satisfying all requirements.
• Zone-redundant storage (ZRS) replicates data across availability zones within the same Azure region, not separate geographic regions.
• Locally redundant storage (LRS) keeps copies within a single datacenter or region and does not provide geographic resiliency.

• 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.

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

• View/inspect configuration: Possible.
• Modify the installed application or its S-Controls: Typically restricted in a test-drive org.

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

• Correct answer: B (No, it does not).

• A purchase agreement in Dynamics 365 SCM is a vendor-side price arrangement. It sets prices/discounts for what your company buys from suppliers, not for what you sell to customers.
• The objective in Question 2 is to give clients a quantity-based discount on items they purchase from you. To accomplish this, you should configure a sales price / trade agreement (on the customer/sales side), not a purchase agreement.
• In a sales price trade agreement, you can define quantity breaks such as:

• Create a Sales price trade agreement for the item and relevant customer (or customer group).
• Add quantity breaks: 51–100 with 10% discount, 101+ with 15% discount.
• Ensure the agreement is active for the desired date range.

• 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.

• 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.

• The correct permission is Manage Sandboxes (the official Salesforce name; the option in the list is written as “Manage Sandbox,” which is effectively the same idea but the canonical name uses the plural).
• Why: Sandboxes are a lifecycle feature. Only users with the explicit Manage Sandboxes permission can perform create, delete, refresh, or activate actions.
• Why the other options aren’t correct:

• A single Construction Job can use multiple Machinery records.
• A single Machinery record may be used on multiple Construction Jobs.
• This is a many-to-many relationship, which Salesforce models using a junction object.
• The junction object can contain fields such as:

• Master-detail to Machinery
• Master-detail to Construction Job
• Date and cost fields

• RPO (Recovery Point Objective) — maximum acceptable data loss, measured in time. It specifies how far back in time you can tolerate data loss. Example: RPO of 2 hours means backups must occur at least every 2 hours.

• ARO (Annualized Rate of Occurrence) — expected frequency of a threat occurring per year. It estimates how often a risk is likely to happen on average (used in risk calculations).

• MTTR (Mean Time To Recover) — average time to recover/restore service after an incident. It includes detection, repair, and restoration time, and helps gauge downtime and alignment with RTO.

• In Microsoft Teams Phone System, a single Auto Attendant can handle multiple time-based greetings by using separate schedules for office hours, after hours, weekends, and holidays.
• You can configure one Auto Attendant with four distinct greetings mapped to:

• Open the Teams admin center > Voice > Auto attendants, edit or create an Auto Attendant.
• Under Time-based routing, define four rules:

• Create a Holiday schedule with the relevant dates (e.g., Easter, Christmas) and assign the Holiday greeting.
• Save the configuration.

• If your environment cannot separate weekend from after-hours within a single Auto Attendant, you might technically need more than one Auto Attendant.

• 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.

• The question asks why some tasks appear locked in the HR Guided Setup Module’s Task view.
• The options are:

• C) They require other tasks to be completed first. In guided setup flows, tasks are usually gated by prerequisites to ensure proper sequencing and data/configuration dependencies. You typically unlock a task only after the necessary preceding tasks are finished.

• A) Elevated roles can restrict access in some contexts, but guided setup tasks are commonly gated by prerequisites rather than solely by role.
• B) Deprecation isn’t the general pattern for “locked” tasks in the guided setup.
• D) A plugin activation could unlock certain features, but the common gating mechanism is task dependencies, not plugin state.

• The page shows the answer as D, but based on how HR Guided Setup usually works, the more accurate reason is typically C (prerequisites). If you’re studying, treat C as the conceptual answer and be aware the listed key may be incorrect. If you want, I can walk through each option in more detail.

• Equipment and hardware
• Facilities
• Inventory
• Backup media
• Supplies stored at an alternate or remote location

• Personal belongings of staff: Usually not organizational assets.
• DR line-item revenues: Revenue is a financial impact, not a physical asset.
• Cloud-based applications: These are primarily logical or information-processing assets, even though they depend on physical infrastructure.

• App Tag: a label that reflects the app’s enterprise readiness based on its Cloud Confidence Index (CCI) rating. It lets you quickly group apps (e.g., Poor, Average, Good) for policy decisions.
• App Score: a numeric value representing the CCI score. It provides a precise threshold you can use to enforce policies (e.g., block apps with Score below 50).

• You can create policies that block or restrict apps with a Poor App Tag or with an App Score under a chosen threshold.
• These two aspects let you filter cloud apps by CCI ratings during policy evaluation.

• CCL isn’t described as a real-time policy facet in this scenario.
• GDPR Readiness is a separate consideration and not the two CCI aspects used for real-time protection policy in this context.

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

• 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.

• C — Schema.describeSObjects(new String[]{myObject})[0].fields.getMap()

• D — Schema.getGlobalDescribe().get(myObject).getDescribe().fields.getMap()

• A: sObjectType is not used this way, and fieldSet() is not the appropriate method for retrieving all fields.
• B: mySObject.myObject is not valid dynamic Apex syntax.

• Incidents & alerts — see how the phishing activity was detected, correlated, and investigated.
• Threat Explorer — search for the malicious messages, recipients, URLs, attachments, and campaign activity.
• Email and collaboration reports — assess how many users or messages were affected.
• Remediation details — verify whether messages were quarantined, removed, or otherwise contained.

• Microsoft 365 admin center — general tenant administration.
• Microsoft Entra admin center — identity and access management.
• Exchange admin center — mail-flow and Exchange configuration, rather than full phishing-incident investigation.

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• Correct answer: C: Amazon Comprehend.

• Why: The library wants to classify books based on their text content. This is an NLP (natural language processing) task. Amazon Comprehend is AWS’s managed NLP service that can perform content classification (including creating custom classifiers) and extract meaningful information from text. The other services are not focused on text classification:

• Quick note: In practice, you’d store the books in S3, extract text if needed (e.g., from PDFs with Textract), and then use Comprehend to classify the documents into topics or genres.

• 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.

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• Prompts and Suggestions: Retained for 28 days
• User Engagement Data: Kept for Two Years

• En Cisco SD-Access, el fabric overlay se extiende hasta lo inalámbrico; los APs son nodos de borde del fabric y su tráfico queda dentro del overlay.
• El cliente inalámbrico genera tráfico que viaja por el overlay, pero no es un componente del fabric en sí.
• El WLC es principalmente una herramienta de gestión y control, no forma parte del overlay; el underlay es el transporte físico.

python 
import azure.cognitiveservices.speech as speechsdk 


speech_config = speechsdk.SpeechConfig( 
    subscription="YOUR_KEY", 
    region="YOUR_REGION" 
)

Important Azure Speech SDK classes

• SpeechConfig

• AudioConfig

python 
  audio_config = speechsdk.audio.AudioConfig( 
      use_default_microphone=True 
  )

• SpeechRecognizer

python 
  recognizer = speechsdk.SpeechRecognizer( 
      speech_config=speech_config, 
      audio_config=audio_config 
  )

• SpeechSynthesizer

• AudioOutputConfig

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