CIPS L3M6 Exam Prep
Socially Responsible Warehousing and Distribution (Page 10 )

• Products ? OrderHistory: Products is 1, OrderHistory is many (1:*)

• Date ? OrderHistory: Date is 1, OrderHistory is many (1:*)

• B — Data source settings in Power BI Desktop:

• D — Formula bar in Power Query Editor:

m 
  Excel.Workbook(File.Contents("new path"))

• E — Advanced Editor in Power Query Editor:

• A: Dataset settings in the Power BI service mainly handle credentials and gateway settings, not changing the local file path embedded in the PBIX.
• C: Current File data-load settings control refresh/load behavior, not the source location.

• Storage usage of files stored in Microsoft Teams: SharePoint site usage report

• Number of active users per team: Microsoft Teams usage report

1. SharePoint site usage report
2. Microsoft Teams usage report

• Honeypots: Decoy systems or services designed to attract attackers. Legitimate users should not access them, so activity there is a strong indicator of compromise.
• DNS sinkholes: Redirect malicious or suspicious DNS requests to a controlled destination. This can identify infected systems attempting to contact command-and-control infrastructure.

• Tokenization: Replaces sensitive data with non-sensitive tokens; it is not an attacker-detection method.
• CI/CD: Automates software development, testing, and deployment.
• Threat modeling: Identifies potential threats and weaknesses before or during system design; it does not directly detect an active infiltrator.
• Data obfuscation: Makes information harder to understand, but does not identify attackers.

• Filtering harmful or inappropriate content
• Blocking specified topics
• Detecting and masking sensitive information
• Enforcing content policies suitable for children

• Amazon Rekognition analyzes images and videos; it does not control text generated by a language model.
• Amazon Bedrock playgrounds are for testing models and prompts, not enforcing production safety policies.
• Agents for Amazon Bedrock help models complete tasks and use tools; they do not primarily provide content-safety controls.

• \Pipeline1
• \Folder1\Lakehouse1

• Pipeline1 remains at the workspace root in Workspace1, so it is deployed to the root of Workspace2.
• Lakehouse1 was moved into Folder1, so its full path is preserved as \Folder1\Lakehouse1.
• Fabric deployment pipelines preserve folder paths because an item’s full path is treated as part of its name.

apex 
Set<Id> accountIds = new Set<Id>{ accountId1, accountId2 }; 


List<Account> accounts = [ 
    SELECT Id, Name 
    FROM Account 
    WHERE Id IN :accountIds 
];

• A: LIMIT accepts a number, not a collection of IDs.
• B: Set.containsAll() checks set contents in Apex; it does not filter SOQL results.
• C: Database.query() accepts a dynamic SOQL string, not a Set<Id> directly.

• Actions that call external APIs
• Subflows
• Connection and credential aliases
• Supporting integration logic

• Action — A reusable operation within a flow, such as “Create a record” or “Send email.”
• Connection — Defines how ServiceNow authenticates and communicates with an external system.
• Integration step — A general flow step, not the name for the packaged integration.

• Required response time
• Resolution time
• Availability or uptime
• Support hours
• Performance targets
• Consequences if targets are missed

• SOW (Statement of Work): Defines the project’s scope, tasks, deliverables, and schedule.
• MOA (Memorandum of Agreement): Describes the responsibilities and commitments between parties.
• MOU (Memorandum of Understanding): Documents a general mutual understanding or intent, often before a formal agreement.

• Data Cloud combines data from multiple systems.
• It resolves and organizes that data into a unified customer view.
• That unified view enables downstream actions such as personalized campaigns, segmentation, analytics, and activation.

• A = core platform value
• D = a resulting business use case or benefit

• Minimum
• Maximum
• Average
• Count
• Null/empty values
• Distinct values

• Enable column profile
• Enable details pane
• Show column profile in details pane

• A — Capacity: The system must handle all current records and anticipated future records. A system that cannot cope with volume will quickly become ineffective.
• C — Accuracy: Academic records are critical, so the new system must be at least as accurate as the existing system and comparable systems. Poor accuracy could cause serious administrative and reputational problems.
• D — Integration: Linking with the university’s financial systems supports consistency and avoids duplicate data entry, especially for registration, deregistration and fee-related transactions.

• B — Parallel running: This is a useful implementation and risk-control technique, but it is not an essential feature of the system itself. It may also be expensive and time-consuming.
• E — Internet access for all information: This creates significant confidentiality and security risks. External access might be needed for selected services, but unrestricted access to all information is not essential and would be inappropriate for student records.

• 24 cores: Available in the Business Critical provisioned-compute configurations.
• Approximately 124 GB memory: Matches the memory capacity of the relevant Business Critical hardware configuration.
• More than 50,000 IOPS: Business Critical uses local SSD storage and provides the high I/O performance required here.
• 500 GB storage: Well within the tier’s supported capacity.

• Premium: The DTU-based Premium tier does not provide the required combination of compute, memory, and I/O characteristics.
• Hyperscale: Hyperscale is primarily intended for very large databases and independent storage scaling. It is not the best match for these specific high-memory and high-IOPS requirements.

• httprint fingerprints Web servers by analyzing their HTTP responses. It can help identify the Web server type and sometimes its version, even when the banner has been modified or hidden.
• Wget is mainly used to download files or Web content.
• WinSSLMiM is associated with SSL man-in-the-middle testing.
• Whisker is an older Web-server vulnerability assessment tool, especially associated with IIS, rather than the expected banner-grabbing tool here.

• 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.

• Note the question number before leaving—for example, Question 38.
• Use the exam’s question navigator or Back/Previous button to return to that number.
• If you close or refresh the page, your position may not be saved, depending on the site. Reopen the page and select the question number again.
• Avoid using the browser’s Back button if it causes the exam page to reload; use the exam’s built-in navigation instead.

• A: It allows for branching and merging...

• C: It allows multiple engineers to work against the same code and configuration files and manage differences and conflicts.

• B: Build automation and infrastructure provisioning are handled by CI/CD and automation tools, not by version control alone.
• D: User Stories and backlogs are managed by project-management tools.
• E: Version control stores and tracks code, but it does not itself ensure that developers write effective unit tests.

• The Intune device limit restriction does not apply in the normal way; DEM enrollment supports up to 1,000 devices.
• However, the Microsoft Entra maximum number of devices per user setting can still impose a limit when the enrollment creates an Entra device object.
• Therefore, a DEM account is not automatically unlimited. The effective limit depends on the Entra device setting and the enrollment/join type.

• Understating expenses and liabilities
• Overstating profit
• Misleading users of the financial information
• Potentially breaching integrity, objectivity, and professional competence and due care

• Confirming the data has the required columns and data types
• Handling missing or duplicate records
• Converting data into a suitable format
• Selecting or engineering useful features
• Splitting it into training, validation, and test sets

1. Prepare the training data
2. Select an algorithm or configure AutoML
3. Train the model
4. Evaluate its performance
5. Tune hyperparameters if needed
6. Deploy the model

• UPS battery-backed outlets: Connect only essential devices needed during an outage:

• Surge-protector-only outlets: Connect nonessential devices, especially the printer. Printing does not need to continue while you are saving work and shutting down.
• UPS power source: Plug the UPS directly into a wall outlet.
• Surge protector power source: Plug it directly into a wall outlet as well. Do not normally plug a surge protector into the UPS, because that creates a daisy chain and can overload the UPS.

• QuickVisualize is used to create and render a Power BI report from a DataFrame.
• The typical pattern is:

python 
PBI_visualize = QuickVisualize( 
    get_dataset_config(df), 
    auth=device_auth 
) 


PBI_visualize

• get_dataset_config(df) prepares the dataset configuration.
• auth=device_auth supplies authentication for the Power BI connection.
• Evaluating PBI_visualize renders the report in the notebook.

• Box 1: No
• Box 2: Yes
• Box 3: Yes

• The users currently have Office 365 Enterprise E3 licenses assigned directly.
• Assigning Microsoft 365 Enterprise E5 through a group does not automatically remove their directly assigned E3 licenses.
• From the Licenses blade, you can select the E3 product and remove it from all assigned users in one operation. This requires less effort than editing 2,500 users individually.

• Identity Governance manages access reviews, entitlement management, and related governance—not bulk license removal.
• Set-AzureAdUser does not remove product licenses.
• Set-WindowsProductKey applies Windows product keys and is unrelated to Microsoft 365 licensing.

• 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.

• 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.

• Extracted text and images
• Page numbers and bounding polygons for citation or grounding
• Structured tables, including tables that continue across multiple pages
• Document structure such as sections and figures

• Document Extraction: Extracts basic text and images, but does not provide the full layout and structural metadata required here.
• Azure Content Understanding in Foundry Tools: A broader content-analysis service, not the single built-in Azure AI Search skill expected by this question.
• GenAI Prompt: Can transform or interpret content but does not inherently produce reliable document geometry and page-level polygons.

• Undefined or blank values
• Relationship matching problems
• Duplicate or conflicting keys
• Errors when querying the model

• Normalize all values to upper- or lowercase in the source query or Power Query.
• Add an index or surrogate key when values that differ only by case must remain distinct.

• Sustainability
• Performance efficiency
• Reliability

• CPU: Number of virtual CPUs and, where applicable, CPU reservations.
• Memory: Amount of memory and memory reservations.

• Network interface: Usually configured through the VM or workload networking configuration.
• PCI devices: Specialized hardware and not a standard VM Class resource in this context.
• Storage: Typically selected through storage policies or the VM’s storage configuration.

• CHAP: Uses a challenge-response exchange, so the password is not directly transmitted.
• IPsec: Provides authentication, integrity, and encryption for IP communications.
• EAP: An authentication framework that supports stronger methods, such as certificates or token-based authentication.

• Maximum response and resolution times
• Expected uptime or availability
• Performance requirements
• Escalation procedures
• Consequences for failing to meet requirements

• SOW: Defines a project’s scope, tasks, deliverables, and schedule.
• MOA: Documents specific responsibilities agreed upon by two parties.
• MOU: Records a general understanding or intent to cooperate.

• Layer 1: Check cables, power, and link lights.
• Layer 2: Check switching, VLANs, and MAC learning.
• Layer 3: Check IP addressing, routing, and gateways.
• Higher layers: Check services, applications, and user settings.

• Create a plan of action: Decide how to implement the fix.
• Implement the solution: Apply the selected fix.
• Verify functionality: Confirm the problem is resolved and systems work normally.

• Group1 — security-enabled: Eligible.
• Group2 — mail-enabled and security-enabled: Eligible because it is still a security group.
• Group3 — Microsoft 365 group: Not eligible for group-based licensing.
• Group4 — Microsoft 365 group, not security-enabled: Not eligible.

• Job compute isolates production pipelines from interactive development and terminates after the job completes.
• Autoscaling adds and removes workers during telemetry spikes, directly addressing bursty workloads.
• Photon can improve performance and reduce processing time, but it does not provide autoscaling, schema-drift handling, or exactly-once processing by itself.

• A — Shared compute: violates production isolation and can allow development workloads to affect ingestion.
• C — Larger fixed cluster: may improve capacity but cannot adapt efficiently to changing workloads.
• D — Disable autoscaling: directly conflicts with the requirement to handle telemetry spikes.

• STIX: A standardized format for exchanging cyber-threat intelligence.
• OVAL: A language and framework for describing and assessing system vulnerabilities and configuration issues.
• Threat intelligence feed: Provides current indicators or threat information, but is not specifically a reference for common application exploitation techniques.
• CVE: A catalog of publicly disclosed vulnerabilities, identified by unique CVE numbers.

• Espionage: Stealing information, usually for competitive or political purposes.
• Data exfiltration: Unauthorized removal or transfer of data.
• Nation-state attack: An attack sponsored or conducted by a government.
• Shadow IT: Unapproved technology or access methods used by employees.

• D — Managers focus on keeping costs low in the short term to maximise profits.

• E — Managers are given incentives to meet or undercut budgets.

• F — Managers delegate responsibility simply to reduce their workload.

• Firewalls and routers
• Servers and applications
• Endpoint devices
• Authentication systems
• Cloud services

• Centralized log collection
• Event correlation
• Dashboards and reporting
• Alerting
• Compliance support

Correct sequence

1. Merge Sales_Region with Sales_Manager using an inner join

1. Merge Region_Manager with Manager using an inner join

1. Merge Sales_Region and Region_Manager using a right join as a new query

• Escape to host: A virtualization attack where code escapes a guest VM and accesses the host system. Nothing in the scenario mentions virtualization.
• Browser extension: Can redirect or manipulate web-browser traffic, but not normally database-server traffic.
• Valid accounts: Describes using stolen or compromised credentials, not redirecting network traffic.
• Process injection: Injecting malicious code into a legitimate database or networking process could allow an attacker to alter how that process handles outgoing traffic.

• 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.

• A: Not expanding would increase its dependence.
• B: More business from the same corporation would make dependence worse.
• D: Passing work to other minority businesses does not solve its own dependence.
• E: The passage does not suggest that it can force or influence the corporation to give work to others.

• 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.

• Complex inputs: A queueable job can accept and retain complex data such as Map<Id, Project__c> and List<Account>.
• Callouts: The class should implement both:

apex 
  public class ProjectJob implements Queueable, Database.AllowsCallouts { 
      // execute method 
  }

• Execution confirmation: System.enqueueJob() returns an AsyncApexJob ID. You can use that ID to query job status and confirm whether the job completed successfully.

• @future(callout=true) supports callouts, but future methods have more restrictive parameter types and return no job ID for tracking.
• Database.AllowsCallouts is only an interface that permits callouts; it is not an asynchronous mechanism by itself.
• Schedulable is intended for jobs that run at a scheduled time, not primarily for submitting a long-running asynchronous operation.

• Review the risk register.
• Check the documented risk response strategy, such as using a backup resource, reallocating work, or adjusting sequencing.
• Implement the planned response promptly.

• B: Moving the task may affect the critical path and should not be done without first evaluating the planned response and impacts.
• C: Excluding a required task would change scope and business requirements without proper analysis or approval.
• D: Updating lessons learned and the risk log may be appropriate later, but it does not address the immediate problem. First, execute the response.

• Asynchronous inference is designed for applications that submit individual inference requests, place them in a queue, and retrieve results later. It is useful when requests may take a long time or when traffic is intermittent.
• Batch transform is designed specifically to run inference over an entire large dataset stored in Amazon S3 and produce an output dataset.

• Large dataset/offline processing ? Batch transform
• Large or slow individual requests processed later ? Asynchronous inference

• A: Describes an update-set conflict, not a Dictionary Override.
• B: Describes a configuration item or change concept.
• C: Describes an approval or workflow activity.

• C. Case after-insert trigger that publishes a Platform Event

• D. Custom Apex controller that publishes a Platform Event

• A. Trigger with a callout: Salesforce triggers should not make direct synchronous callouts, and this tightly couples transaction processing to the external system.
• B. Workflow Rule with Outbound Message: This can react to record changes, but it cannot reliably capture a user clicking a menu item. It also does not provide the same flexible event-driven model as Platform Events.