Cisco 350-601 Exam Prep
Implementing and Operating Cisco Data Center Core Technologies (DCCOR) (Page 14 )

• The ERSPAN source is the device or interface whose traffic is being copied.
• The ERSPAN destination is the device receiving the encapsulated copy and forwarding it to the traffic analyzer.
• The local monitor session number is locally significant. Therefore, the source and destination do not need matching session IDs such as 47 or 48.
• The erspan-id identifies the ERSPAN stream and must correspond between the source and destination configuration.

• Architects design overall Splunk infrastructure and data strategy.
• Administrators manage configuration, access, and system operations.
• Knowledge Managers create and maintain knowledge objects such as data models, field extractions, and event types. They may support pivots, but they are not the primary users of them.

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

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

• terraform apply
• terraform destroy

• 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.

• A script of cloud CLI commands: IaC because the commands can be saved, reviewed, versioned, and rerun consistently.
• Manually run curl commands: Not necessarily IaC; they are manual actions unless organized into an automated script.
• A sequence of REST requests passed to an API: Could represent automation, but the wording does not explicitly say they are stored and executed as reusable code.
• Commands entered into a cloud console: Manual operation, not IaC.

• A. IDS attack signatures: An IDS primarily detects suspicious network activity; it is not the best tool for scanning uploaded files.
• C. Load balancer: Improves availability and distributes traffic but does not inspect files for malware.
• D. WAF: Protects web applications against attacks such as SQL injection and command injection. It may inspect HTTP requests, but malware scanning of uploaded PDFs is the key requirement here.

Why A is the best fit

Why the other options are weaker

• B — Create alerts in Dynamics 365 Finance: Alerts notify users about changes; they do not calculate tax.
• C — Implement the Common Data Model: CDM standardizes data structures but does not provide tax-calculation logic.
• D — Run a Power BI report: Power BI is primarily for analysis and reporting. A report might display tax rates, but it would not normally calculate and apply tax to sales orders operationally.
• E — Write scripts and code: This could work, but it is less aligned with the requirement for a quick, cost-effective implementation because custom development requires more time and maintenance.

• Guest access: Controls external users invited into your teams as guests. It is not the primary setting for restricting federated communication by domain.
• Messaging policy: Controls messaging features, such as chat or message editing, rather than which organizations users can communicate with.
• Org-wide Teams settings: Contains broad Teams-wide configuration, but domain-based external communication is configured under External access.

• Crash cart: Provides local physical access, not remote access.
• Jump box: A secured intermediary used to reach devices over the normal network; it may be inaccessible if the appliance has not booted.
• Secure Shell (SSH): Requires the device’s operating system and network services to be running properly.

• Existing measures
• Relationships
• Calculated columns
• Tables and fields
• Existing transformations in the model

• SharePoint folder: Reconnects to the source files. You would likely need to recreate the model and measures.
• Power BI dataflows: Primarily provide reusable data preparation and storage, but they do not automatically provide the existing semantic model and measures.
• Excel workbook: Connects directly to the source file and would also require rebuilding the model and measures.

• Custom domains are supported.
• It provides dedicated compute instances.
• It offers enough storage for the applications.
• It supports multiple instances with load balancing between them.
• It is less expensive than higher tiers such as Premium.

• Free and Shared use shared compute and have limited storage, so they cannot meet the dedicated-instance requirement.
• Basic provides dedicated compute and custom domains, but the question’s requirement for the broader multi-instance/load-balancing capability is intended to point to Standard.

• Disable high concurrency: Changes workspace-wide behavior and is not the targeted way to isolate these workloads.
• Modify the number of executors: Adjusts capacity and performance, but does not provide workload isolation.
• Set the default environment: Controls libraries and runtime configuration, not compute isolation.

• The message came from the claimed sender (authentication)
• The message was not altered in transit (integrity)
• The sender cannot easily deny having signed and sent it (non-repudiation)

• Compliance standards: May be a reason in some organizations, but it is not the primary security benefit.
• Increase delivery rates: Digital signatures do not generally improve email delivery.
• Block phishing attacks: Signatures can help recipients verify legitimate messages, but they do not block phishing by themselves.

• Additional running costs: $800
• Less depreciation: $300

• The $100 reduction in fixed production overhead absorbed is only an accounting reallocation. It does not represent an actual saving in total fixed overhead.

• The listener uses a virtual IP address shared by the availability-group replicas.
• Floating IP, also called Direct Server Return (DSR), allows the SQL Server nodes to respond using the listener’s IP address rather than their individual VM IP addresses.
• This is required for the availability-group listener to function correctly with an Azure internal load balancer.

• 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.

• 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.

• Microsoft Foundry is an enterprise platform for developers, data scientists, and IT teams.
• It supports the full AI application lifecycle: selecting models, connecting enterprise data, developing, evaluating, deploying, monitoring, and scaling solutions.
• It can include visual tools and low-code experiences, but it is not primarily designed to enable business users to build complete generative AI solutions independently.

• B: You still need to select and configure an appropriate model.
• C: Business users may participate through visual tools, but they are not the primary target audience.
• D: Foundry includes low-code tools, but it is not fundamentally a low-code-only platform.

• transform() — modifies every element in an array
• filter() — keeps elements matching a condition
• exists() — checks whether any element matches
• aggregate() — reduces array elements to one result

sql 
SELECT transform(scores, x -> x * 2) 
FROM student_scores;

• A is incorrect because higher-order functions are mainly useful for nested or complex data.
• B is incorrect because they do not convert logic into Python.
• D is incorrect because their purpose is not to fix slow built-in functions, but to process arrays or maps with custom logic.

• Deterrent control: The signs warning that people may be filmed can discourage unauthorized activity. They do not physically prevent the activity, but they may influence behavior.
• Detective control: CCTV detects or records activity so security personnel can identify incidents and investigate them later.

• Preventive: Stops an incident from occurring, such as a locked door.
• Corrective: Restores systems after an incident, such as backups.
• Directive: Instructs people what to do, such as security policies or warning instructions.
• Compensating: Provides an alternative control when the preferred control cannot be used.

• CBWFQ (Class-Based Weighted Fair Queuing): Creates traffic classes and assigns each class a guaranteed bandwidth or queueing treatment.
• PQ (Priority Queuing): Uses multiple queues with strict priority. Higher-priority queues are serviced before lower-priority queues, making it useful for delay-sensitive traffic—but it can starve lower-priority traffic.

• FRTS: Traffic shaping for Frame Relay; it controls the transmission rate rather than selecting packets during congestion.
• CAR: Polices traffic by rate, typically dropping or remarking packets that exceed a limit.
• PBR: Policy-Based Routing; it selects forwarding paths and is not a QoS queueing mechanism.

• A PostToolUse hook for file writes under src/api/ that runs the linter.
• A separate PostToolUse hook for API/data processing that normalizes payloads to snake_case.

• The requirement is an assessment of the Azure environment’s design, which requires a support plan offering proactive architectural guidance.
• Premier support would provide this capability, but it is a high-cost option.
• Since the requirement says to minimize expenses, Premier is not the best recommendation.
• A lower-cost plan with the required advisory/design-review capability—historically Professional Direct in Azure’s support-plan model—would be more appropriate.

• FTP — Transfers files using a client/server model and supports authentication. It uses separate control and data connections.
• TFTP — A very simple file-transfer protocol with no authentication and minimal features. Commonly used to transfer router or switch configuration files and IOS images.
• SCP — Securely copies files over SSH. It provides encryption and authentication.
• SFTP — Also transfers files securely through SSH, but provides more file-management capabilities than traditional SCP.
• HTTP/HTTPS — Primarily web protocols, but can also download files; HTTPS encrypts the session.

• TFTP = simple, unauthenticated file transfer
• FTP = file transfer with authentication, but not inherently encrypted
• SCP/SFTP = secure file transfer using SSH

• IDS attack signatures: Primarily detects suspicious network activity; it is not the best control for scanning uploaded documents.
• Load balancer: Distributes traffic and can improve availability, but does not inspect files for malware.
• WAF: Helps block web attacks such as command injection and SQL injection, but it is not primarily a malware-scanning solution.

1. Create Workspace2 with Lakehouse2 — F
2. Migrate the Employee table to Lakehouse2 — E
3. Assign the data engineer the Contributor role for Workspace1 — D

Why

• Sharing Lakehouse1 would not provide the required isolation.
• Viewer access would not allow writing to Customer.
• Giving Contributor access to Workspace2 would expose the sensitive table.

• 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.

• O dispositivo estar registado no Windows Autopilot;
• A atribuição de Profile1 ao grupo;
• O estado de associação ao Microsoft Entra ID e de inscrição no Intune/MDM.

• Azure DevOps Analytics views are accessed through the Power BI Azure DevOps (Boards only) connector.
• This connector authenticates directly to Azure DevOps Services and lets you select an Analytics view.
• Analytics views allow filtering and shaping data in the cloud before Power BI loads it.
• Azure DevOps Server (Boards only) is for an on-premises Azure DevOps Server instance, not Azure DevOps cloud.
• A generic OData Feed connection can access OData endpoints, but it is not the purpose-built connector for Azure DevOps Analytics views.
• “OData queries” describes the underlying technology or query approach, not the most appropriate Azure DevOps connector choice here.

• Amazon EC2 instances — ???????? ?? ?? ??????? CPU, memory ??? instance size ???????? ???????
• AWS Lambda functions — memory configuration ?????????? ???????
• Amazon EBS volumes — volume type ?? size optimize ???? ???????
• ??????? ECS workloads — resource configuration ? cost optimization-?? ???????

• Memory ? compute usage ?????????? ???? custom code ????? ???? development ? maintenance ??????
• Cost allocation tags ???? ????? ??? ?????? ???? ??????? ???; inefficient resource ??????? ?? recommendation ???? ???
• CloudTrail resource ???? ?? API activity ??????, resource utilization ????

• Packet capture: Collects and analyzes network traffic; it does not describe the scan type.
• Privilege escalation: Attempts to gain higher permissions after obtaining access.
• System enumeration: Identifies systems, services, or resources, but is not specifically defined by the lack of credentials.
• Passive scan: Observes traffic without actively probing systems. A vulnerability scan is generally an active assessment.

• Matching hashes: The software is likely unchanged.
• Different hashes: The software or its contents have been modified.

• Encryption: Protects confidentiality, not primarily integrity.
• Baselines: Document expected configurations and support comparison, but hashing is more directly suited to verifying file integrity.
• Tokenization: Replaces sensitive data with tokens and is unrelated to software tampering.

• 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.

• A. Adjust resolution: Incorrect because an incompatible resolution usually causes no display, distortion, or an unsupported-mode message—not intermittent flickering.
• B. Swap the HDMI cable: Correct. Replacing the common, easily tested component is the appropriate troubleshooting step.
• C. Replace the projector: Incorrect because the issue also occurs with a monitor.
• D. Configure refresh rate: A mismatched refresh rate can cause visual problems, but the repeated flicker across displays points more strongly to the cable.

• To identify the number of errors: select Column quality. It shows the percentage and count of Valid, Error, and Empty values for each column.
• To resolve errors: use the appropriate error transformation:

• Build, measure, learn: Create something, assess real feedback or results, and adapt.
• Minimum viable product (MVP): Produce the smallest useful version to test assumptions and reduce uncertainty.
• Fail fast: Test ideas early so that unsuccessful approaches can be identified before significant time or cost is invested.

1. Horizontal scaling — Yes

1. Vertical scaling — Yes

1. Scaling can manage costs — Yes

• Horizontal = more or fewer instances
• Vertical = larger or smaller instances

• Virtual introductions: Team members share their role, experience, location, and working preferences.
• Online icebreakers: Short, informal activities such as “two truths and a lie.”
• Virtual coffee chats: Pair team members for informal, non-project conversations.
• Collaborative problem-solving: The team works together on an online puzzle or scenario.
• Retrospectives: The team discusses what went well, what did not, and how to improve.
• Working-agreement sessions: The team agrees on response times, meeting etiquette, communication channels, and handoffs.
• Recognition sessions: Members acknowledge one another’s contributions.
• Remote workshops: Teams jointly create plans, diagrams, or schedules using collaboration tools.

• Existing Eventhouse data: remains available only in the KQL database.
• Data ingested after enabling the feature: is copied to OneLake and can be accessed through OneLake file explorer.
• New databases: are irrelevant; the setting applies to the selected KQL database.

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.

• 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.

• 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.

• A: Concerns task scheduling and avoiding missed runs, not directly sizing the warehouse.
• B: The amount of data in a stream alone does not reliably determine compute needs; the SQL processing is what matters.
• D: A multi-cluster warehouse addresses concurrency, not the compute size needed for one task execution.

• desktopwidth:i:1280
• desktopheight:i:1024

• Connection information: Controls connection-related settings, not the desktop resolution.
• Scaling plan: Controls when session hosts start, stop, or scale based on demand.
• Session behaviour: Controls behavior such as disconnect or logoff handling.
• Display settings: Specifically controls RDP display properties, making it the appropriate choice.

• 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 class/teacher fact should contain one row per Class ID. It can support the count of classes and contain attributes such as Teacher First Name and Period Number.
• An attendance fact should contain one row per attendance event, such as Class ID + student + date. It supports attendance counts by day and monthly averages.

• Teacher First Name ? Teacher fact
• Period Number ? Attendance fact

• 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.

• Highly polished, organization-wide presentations
• Advanced dashboard design and customization
• Broader business-user distribution and interaction
• Specialized BI governance and modeling features