SDI SD0-302 Exam Actual Questions
Service Desk Manager Qualification (Page 2 )

• A. Number ? Decimal — Correct. Salesforce Number fields are represented in Apex as Decimal.
• D. Date/Time ? Datetime — This is correct conceptually, but “Dateline” is not an Apex type. If the option literally says “Dateline,” it is incorrect.
• E. Checkbox ? Boolean — Correct. A checkbox contains true or false.

• Number ? Integer — A Number field maps to Decimal, even when its scale is zero.
• Text Area ? List<String> — A text area maps to a single String, not a list.

• Answer: C (192.168.0.1-192.168.0.99, 192.168.0.101-192.168.0.254)

• Why: The interface is 192.168.0.100/24, so DHCP pools must be within the 192.168.0.0/24 subnet and cannot include the router’s IP (192.168.0.100), the network address (192.168.0.0), or the broadcast (192.168.0.255). Option C provides two ranges that exclude those addresses.

• Why the other options are invalid:

• VMs without NGT: Not clearly a migration blocker on its own; NGT (Nutanix Guest Tools) status isn’t the typical gating factor for live migration during maintenance.
• VMs marked as an Agent: Not a standard, widely-known migration blocker; agents aren’t the typical reason a VM can’t be migrated.
• Memory Overcommitted VMs: While memory pressure can affect placement, memory overcommitment isn’t a fundamental reason a VM would be labeled non-migratable during maintenance.
• VMs with attached Volume Groups: This is the strongest candidate. A Volume Group is a set of volumes bound to a VM; moving the VM would entail relocating and reattaching those volumes, which can complicate or block live migration during maintenance.

• 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.

• In the source query: apply UPPER() or LOWER() to the column.
• In Power Query Editor: use Text.Upper or Text.Lower on the column, then load.

• This fixes the root cause when comparisons/joins depend on case.
• In DirectQuery, transformations are pushed to the source or query layer; ensure the transformation is supported by your data source/connector.
• After normalization, verify relationships and any downstream visuals that rely on that column.

• The answer: Question 51: C — Request trigger.

• To invoke a Logic App from an external service (here, the Azure Application Insights availability test) you need a trigger that starts on an incoming HTTP request. In Logic Apps, this is the trigger that exposes an HTTP endpoint — typically shown as "When a HTTP request is received" and referred to as the Request trigger.
• The other options aren’t appropriate:

• Create a Logic App with the Request trigger to generate a URL.
• Configure Application Insights to post the degraded-availability payload to that URL.
• Add actions (e.g., send email, follow-up) in the Logic App to notify the customer services team.

• 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).

• Correct answer: D. AWS CloudShell

• Why: AWS CloudShell is a browser-based shell that runs in the AWS Console and uses the current authenticated session. It provides a pre-authenticated, ready-to-use command-line environment directly from the Management Console, with AWS CLI and common tools installed.

• Why the other options aren’t correct:

• 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.

• An IDS monitors network traffic for signs of attacks and raises alerts. It can be deployed out-of-band (via a SPAN/mirror port or a tap) so it analyzes traffic without being inline, meaning it doesn’t measurably affect latency.
• An IPS (intrusion prevention system) is inline and can block threats, but that processing can introduce some latency and potential throughput impact.
• A firewall also inspects traffic and can add latency, though usually modest with proper hardware, but its primary purpose isn’t continuous passive analysis.
• A load balancer distributes traffic and isn’t used for intrusion analysis.

• 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.

• The connecting host keeps the private key securely.
• The destination host stores the corresponding public key in its authorized keys.
• Authentication can occur without a person entering credentials each time.
• SSH also provides encrypted communication and host authentication.

• Biometric: Requires a human user and is difficult to automate.
• Smart card: Often requires user interaction or card access.
• Hard-coded password: Unsafe because passwords stored in scripts or applications can be exposed, reused, or difficult to manage securely.

• Correct answer: B) Context window.

• Why: The context window is the number of tokens the foundation model can process in a single inference. It sets the maximum length of the combined input (prompt) and the model’s output. A larger context window allows more content to be included in one prompt.

• How to use: Check the FM’s context window value and ensure your prompt length plus the desired completion stays within that limit. If needed, summarize or split input across multiple prompts.

• Why the other options aren’t correct:

• Quick tip: Verify the specific FM’s context window for Bedrock, since different models have different token limits.

• The target API uses HTTPS, so Mule must validate the server’s TLS certificate.
• The TLS configuration is set to None, meaning no custom truststore is configured.
• Mule therefore uses the JRE’s default truststore to determine whether the target certificate is trusted.
• If the issuing CA certificate is in that truststore, the TLS handshake can succeed.
• If it is absent—or the certificate is otherwise invalid—the request fails with a TLS/handshake error.

• IPsec: Protects traffic at the network layer, commonly for VPNs; it is not WPA2’s authentication protocol.
• SSL: Protects specific application sessions and has largely been replaced by TLS.
• SSH: Secures remote command-line administration.

• The stage has a default file format defined (e.g., when you create the stage with FILE_FORMAT = (...)), and Snowflake will use that default.

• You use a named file format attached to the stage, or you specify an inline format in the COPY command, e.g., COPY INTO my_table FROM @my_stage FILE_FORMAT = (TYPE = 'CSV');

• Use a stage default: omit FILE_FORMAT in COPY.
• Or rely on a named/inline format: specify FILE_FORMAT in COPY or set a format on the stage.

• ?????? CPU
• ?????????????????
• ??????????????????????????
• ???????????? throughput
• ??????????????????????????????

• A ??????? system software ????????????????????????????????? ??????????????????????????????????
• B ?????????????????????????? ????????????????????????? ?????????????????????????????
• D ????????????????????????? ?????????????? ?????????????????????????????????????????

• 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.

kusto 
Event | where EventType == "error"

• == is the KQL equality operator.
• -eq is a PowerShell operator, not KQL.
• is is not the correct equality operator in this context.

text 
Event | where EventType –eq "error"

• Event | search "error" — valid, broad search.
• search in (Event) "error" — valid, broad search.
• Event | where EventType == "error" — valid, targeted filter.

• Actual filename: Document.xml.txt
• Explorer displays: Document.xml
• File type: Text Document (.txt)

text 
Document.txt ? Document.xml

• Statement 1: Admin1 must approve requests for the Agent ID Developer role — No

• Statement 2: Admin2 can approve requests for the AI Administrator role — No

• Statement 3: Admin3 can assign User1 a two-day active assignment for the Agent ID Developer role — Yes

• As the project progresses, you gain information, refine requirements, and lock down baselines (scope, schedule, cost). This reduces overall risk and uncertainty because more is known and addressed.
• At the same time, changes become more costly over time. Later changes can affect already approved baselines, cause rework, impact the critical path, require more coordination, and incur penalties or delays, all of which raise the cost of making changes.

1. Remote access to a Windows PC
2. Full chat and optional game-console functions

• Windows Remote Desktop (RDP) uses TCP 3389. The router needs a port-forwarding rule that sends incoming traffic on that port to the Windows PC’s internal IP address.
• The game console should connect through the wireless AP. Using WPA2-PSK provides the required wireless security while allowing normal online, chat, and optional services.
• The firewall should separate the internal network from the screened subnet. Its screened-subnet-side address is shown as 10.100.0.1.
• Devices must be placed in the correct network locations: the PC behind the router, the console on the wireless AP, and the firewall between the appropriate network segments.

• 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.

• 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.

• A assigned without var becomes a global variable (in non-strict mode). So after myFunction(), a = 5 is accessible.
• b is declared with var inside the function, so it’s local to that function (function-scoped). It’s not defined in the outer (global) scope.

• console.log(a) prints 5.
• console.log(b) throws a ReferenceError: b is not defined.

• IaaS: You deploy and manage virtual machines, operating systems, disks, and networking. Azure manages the physical datacenter and host infrastructure.
• PaaS: Azure manages the operating system and runtime so you can focus on deploying applications, such as with Azure App Service or Azure Functions.
• SaaS: You consume a complete, provider-managed application.

• Key concept: ALE = SLE × ARO

• SLE = $15,000
• Occurrences: 2 in 3 years ? ARO = 2/3 per year ˜ 0.6667

• ALE = $15,000 × 0.6667 ˜ $10,000 per year

• ALE is the expected annual loss, so it averages the losses over each year.
• This helps prioritize risk treatments by comparing ALE to the cost of controls.

• B: Intégrez des résultats de due diligence tels que les évaluations de risque client.

• C: Utilisez des correspondants en aval pour enquêter et signaler les activités suspectes.

• I can’t view the images, so I can’t tell which table is labeled as A in your screenshot. But here’s how to decide:

• How to identify the fact table:

• How to identify the surrogate key in the Patient table:

• Relationship:

Why

cmd 
PowerShell.exe -ExecutionPolicy Bypass -File C:\Scripts\ConfigureVM.ps1

Why the other options are less suitable

• GPO logon script: Runs only when a user logs on and may not run during initial VM provisioning.
• GPO startup script: Can work, but requires the VM to be joined to the domain and the policy to be applied. It is also normally evaluated at each startup.
• Place scripts in a VHD: Merely placing scripts on a disk does not cause them to execute.

1. Create a new AMI or copy the existing AMI while specifying EBS encryption and an appropriate AWS KMS key.
2. This creates an encrypted AMI backed by encrypted EBS snapshots.
3. Copy the encrypted AMI to the destination Region, using a KMS key available there.
4. Launch the application stack from the encrypted AMI.

• B: AWS KMS does not encrypt an existing unencrypted AMI in place. You must create an encrypted copy.
• C: AWS Certificate Manager manages TLS certificates, not EBS or AMI encryption.
• D: Enabling encryption by default affects newly created EBS volumes and snapshots; it does not encrypt an existing unencrypted AMI during copying.

• Answer: B — Improve employee training and awareness

• Why this is correct:

• Why the other options are less effective here:

• Quick practical note:

• runParallel is defined as async, so it returns a Promise.
• To use the result, you attach a then handler (or use await inside another async function).

• A: “Async runParallel() .then(data);” is invalid. “async” is a keyword for function declarations, not something you put in front of a call, and you’d need a function as the then-argument.
• B: “runParallel().done(function(data){return data;});” .done is not standard in native Promises (it exists in some libraries). Without a compatible library, this won’t work.
• C: “runParallel().then(data);” is invalid because then expects a function as its argument; data is not a function.
• D: “runParallel().then(function(data){ return data; });” is valid (or equivalently, runParallel().then(data => data);).

• The robust, standard option is D.
• B could work only with a library that provides .done; otherwise it’s not reliable.

• Date: 2018-12-31
• Time: 08:59

• B: The original value contains the text at, so it cannot be converted directly to a date.
• A: The last characters contain the time, not the date.
• D: Extracting the first 11 characters can leave an unwanted space and does not properly separate the time component.

• In the AWS shared responsibility model, AWS manages the security of the “infrastructure,” including the physical hardware and underlying virtualization.
• The customer is responsible for everything else in the cloud stack: the guest OS on EC2, the NoSQL database software running on it, data, patching the OS, and configuring access controls like security groups.
• So, for a self-managed NoSQL database on EC2, AWS would handle the physical hardware, while you would patch the guest OS and manage DB availability, backups, and security.

• Honeypots: Decoy systems or services designed to attract attackers. Legitimate users should not access them, so activity on a honeypot is a strong indicator of unauthorized activity. Security teams can also observe attacker behavior.

• DNS sinkhole: Redirects requests for known malicious domains to a controlled internal server or blocks them. If an infected workstation attempts to contact command-and-control infrastructure, the sinkhole records the request and helps identify the compromised device.

• Tokenization: Protects sensitive data by replacing it with tokens.
• CI/CD: Automates software development and deployment.
• Threat modeling: Identifies potential risks before or during system design.
• Data obfuscation: Makes data harder to understand, but does not detect intruders.

• Interactive development and exploration
• Small datasets
• Lightweight transformations or testing
• Avoiding the overhead and cost of multiple workers

• Automated reports: Jobs may benefit from job clusters or SQL warehouses.
• Working with SQL in Databricks SQL: Databricks SQL warehouses are the relevant compute option.
• Automatically scaling for larger data: A multi-node cluster with autoscaling is more suitable.
• Large amounts of data: Distributed worker nodes are generally needed.

• Answer: A

• Reason: The Standard web tier is the lowest tier that provides dedicated compute, built-in load balancing across instances, and sufficient storage to host multiple apps with custom domains. Basic may lack the required scalability/storage, while Free/Shared do not offer dedicated compute or proper load balancing.

• State is stored remotely in Terraform Cloud/Enterprise, not as a local file.
• Terraform runs (plan/apply) can be executed on remote infrastructure, with results visible in the remote workspace UI.
• Supports workspace-based organization, state locking, and concurrency control.
• Useful for team collaboration, centralized governance, and auditable logs.

• In your configuration, you use a backend block like backend "remote" { ... }.
• You still run terraform init to configure/migrate to the remote backend.
• After setup, terraform plan/terraform apply may be executed remotely, and the outputs/logs appear in the Terraform Cloud/Enterprise UI rather than (only) in your local terminal.

• Other backends store state remotely but typically do not provide remote execution; with the remote backend you get remote runs and a collaborative UI, not just remote state storage.

• Numerical flexibility: Adjusting the number of employees, such as using temporary, part-time or contract staff.
• Temporal flexibility: Varying when employees work, such as through flexitime, overtime or different working hours.
• Shift system flexibility: Changing work patterns or shift arrangements; it is not specifically about moving between tasks.

• 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. Configure prompt modifications to enforce tone, disclaimers, and refusal behavior at the system level.

• D. Configure Power Platform DLP policies to restrict unauthorized data connectors.

• B: Manual topic-by-topic disclaimer edits are specifically discouraged.
• C: Channel settings do not replace agent-level Responsible AI controls.
• E: Publishing before enabling safety filters violates the stated deployment sequence. Responsible AI filters should be enabled before publication, not afterward.

• 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:

• '15' is a string. With + and a string, JavaScript does string concatenation: '15' + 10 -> '1510'.
• The result '1510' is then used in a multiplication: '1510' 2. The operator triggers numeric conversion, so '1510' becomes the number 1510.
• 1510 * 2 = 3020.

• If the code were let x = (15 + 10) * 2, the result would be 50 since 15 + 10 is numeric addition.

• 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.”

• Box 1: Azure Lighthouse — ??? ??????? ? ?????????? ????????? ? ?????????? Entra tenants. ??? ??????????? ??? ??? ????? ????? ? VM ? ?????? ?????????/????????.
• Box 2: Azure Monitor Agent ? ?????????????? Data Collection Rules (DCR) — AMA ???????? ??????? Windows (????????, Security Logs) ? DCR ??????????, ????? ??????? ???????? ? ???? ?????????? (? ?????? Log Analytics workspace).

• 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 ...).

• prompt: the input or instruction given to the model
• completion: the desired response

json 
{"prompt":"Summarize this customer complaint.","completion":"The customer reports a delayed shipment."}

• B: A .txt file containing CSV-style lines is not automatically a valid fine-tuning dataset. The required structure and format must match the selected Bedrock model.
• C: Provisioned Throughput provides dedicated inference capacity; it does not fine-tune a model.
• D: Journals and textbooks might support domain adaptation or pretraining, but they do not provide the prompt-to-answer examples typically required for supervised fine-tuning.

• Amazon S3 — Object storage, not a database.
• Amazon DynamoDB — Fully managed NoSQL key-value and document database.
• Amazon Redshift — Managed data warehouse designed for analytics, not primarily transactional MySQL workloads.