Cisco 300-715 Exam Prep
Implementing and Configuring Cisco Identity Services Engine (300-715 SISE) (Page 7 )

• Red team: Offensive security; attempts exploitation and simulates attackers.
• Blue team: Defensive security; monitors, detects, and responds to attacks.
• Purple team: Combines red- and blue-team activities to improve defenses, but is not the best direct answer here.
• White team: Usually oversees or coordinates an exercise, including rules of engagement and scope.

• Self-signed certificate: Causes a browser security warning, not incorrect name resolution.
• Nameserver record: A DNS problem would typically affect multiple users, not just one workstation.
• IP helper: Relays services such as DHCP across network segments; it does not resolve website names.

• up ? down ? up
• Often happens rapidly or intermittently

• Faulty or loose cable or connector
• Failing transceiver, NIC, or switch port
• Speed/duplex or auto-negotiation problems
• Power or hardware instability
• Layer 1 interference

• Nothing plugged in: the port is simply down
• Latency: does not directly trigger err-disable
• shutdown: administratively disables the port, but that is not the same as an automatically detected err-disabled condition

• The server accepts unauthenticated image uploads, which creates an opportunity for an attacker to upload a malicious script disguised as an image or using an unexpected file type.
• A web shell is a malicious script placed on a web server that gives an attacker remote command execution through web requests.
• The suspicious process and outbound connection to a low-reputation IP are consistent with the attacker using the web shell to execute commands or establish communication with command-and-control infrastructure.

• Worm: Usually self-propagates across multiple systems; the scenario focuses on the upload page.
• Cryptocurrency mining: Possible, but there is no indication of resource-intensive mining activity or insider involvement.
• Rootkit Trojan over RDP: The evidence points to the vulnerable upload functionality, not an exposed RDP service.

• Identifies which user or department owns the device
• Supports inventory and compliance requirements
• Enables tracking of lost, stolen, retired, or unauthorized devices
• Helps enforce security controls such as mobile-device management and secure configuration

• Identify the causes of delays.
• Improve its workflow and collaboration.
• Adjust tools or development practices.
• Discuss improvements during retrospectives and apply them in future sprints.

• A: An impediment log can help track issues, but merely maintaining one does not remove the impediments.
• B: Directing the team toward solutions reduces team ownership and self-organization.
• C: Adding impediments to the product backlog may be appropriate in some cases, but it does not automatically ensure they are addressed promptly.
• D: Best reflects agile leadership: empowerment, continuous improvement, and removal of impediments.

• Instant messaging/chat: Can be abused to send malicious links or attachments, but P2P file sharing is the more direct high-risk source.
• E-mail: A common malware delivery method, but this question specifically emphasizes an application type associated with direct file exchange.
• End-to-end applications: This describes communication protection or architecture, not a specific application category known for malware distribution.

• A is correct: It establishes the revised dates and identifies the effect on the critical path.
• B is premature: Stakeholders should be informed after the impact has been assessed and the updated schedule is understood.
• C is not automatically appropriate: Fast-tracking may introduce additional risk and should be considered only after analyzing schedule options.
• D is premature: Adding resources may not resolve a dependency and could increase costs without addressing the actual constraint.

• Warehouse size: Larger warehouses use more credits per unit of time than smaller ones.
• Number of clusters: A multi-cluster warehouse can run multiple clusters, and each active cluster consumes credits. Therefore, increasing the maximum or active cluster count can increase consumption.

• Number of users: More users may cause more workload, but users themselves do not consume credits.
• Amount of data processed: Snowflake warehouses are not charged directly by the amount of data scanned. However, processing more data may cause the warehouse to run longer, indirectly increasing credits.

• # Development
• # Testing
• # Production

• Separate endpoints: relate to compute or connectivity, not dashboard labels.
• Separate queries: retrieve or transform data but do not designate visual sections.
• Direct text written into the dashboard in editing mode: dashboards use text boxes, typically with Markdown formatting, rather than arbitrary text placed directly on the canvas.

• Reporting relationships
• Organizational structures
• Leadership styles
• Team maturity
• Individual and group behavior
• Communication and motivation

• Acquire Project Team: Focuses on obtaining the people needed for the project.
• Develop Project Team: Focuses on improving team skills, relationships, and performance.
• Manage Project Team: Focuses on tracking performance, resolving issues, and managing changes within the team.

• Business
• People
• Governance
• Platform
• Security
• Operations

• Sustainability
• Performance efficiency
• Reliability

• A. IDS attack signatures: An IDS primarily detects suspicious network activity; it is not the best control for scanning uploaded documents for malware.
• C. Load balancer: Distributes traffic among servers and improves availability, but does not inspect files for malware.
• D. WAF: Protects web applications against attacks such as SQL injection and command injection. It may help secure the upload function, but malware scanning is the key requirement here.

• Custom domains: supported by Standard.
• Dedicated compute instances: Standard runs on dedicated Azure VMs.
• Load balancing: Standard supports scaling the app across multiple instances with traffic distributed between them.
• Storage: Standard provides more storage than the lower tiers.
• Cost control: Standard is cheaper than higher tiers while meeting the stated requirements.

• Free and Shared use shared infrastructure and are intended for basic/testing workloads.
• Basic provides dedicated instances, but the question’s expected answer treats Standard as the minimum tier providing the required load-balancing capability.

• Due diligence: Investigating and evaluating a third party before entering into or continuing a business relationship.
• Attestation: An independent party provides assurance about an organization’s claims or controls. A SOC 2 examination is an example of an attestation engagement, but the analyst requesting and reviewing the report is performing due diligence.
• Internal audit: Reviews the organization’s own internal controls.
• Penetration testing: Actively tests systems for exploitable vulnerabilities.

• Match found: ServiceNow updates the existing target record.
• No match found: ServiceNow normally creates a new target record.
• No Transform Map is created or deleted based on whether a match is found.

• Form layout
• Related lists
• Dictionary settings
• UI policies
• Client scripts
• Views and field visibility

• Personalization usually affects only the individual user.
• System configuration can affect other users, depending on its scope and conditions.

• Denial-of-service: Prevents users from accessing a service; it does not normally redirect them.
• Social engineering: Manipulates people into taking an action, such as clicking a malicious link, but does not directly alter DNS resolution.
• ARP spoofing: Associates the attacker’s MAC address with another device’s IP address on a local network. It can intercept traffic, but the described website redirection is most specifically DNS poisoning.

• 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.

• Sales revenue is affected because internal sales are recorded at the transfer price.
• Operating profit is affected because revenue changes while costs may remain unchanged.
• Return on investment (ROI) is affected because ROI depends on operating profit and the division’s investment.
• Cost of components purchased is not affected by the transfer price. These are costs incurred when buying components from external suppliers, not the internal price charged for the division’s output.

• Design Studio > Emails ? create an email-template folder
• Design Studio > Landing Pages ? create a landing-page-template folder
• Add the relevant assets to each folder
• Right-click the folder and choose Share Folder
• Select the destination workspaces

• 255.255.255.128 = /25: 128 total, 126 usable
• 255.255.255.192 = /26: 64 total, 62 usable
• 255.255.255.224 = /27: 32 total, 30 usable
• 255.255.255.240 = /28: 16 total, 14 usable

• One for the network address
• One for the broadcast address

• 8 total addresses
• 6 usable addresses
• Mask: 255.255.255.248

• 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

1. Append Table1 and Table2 as a new query

1. Select the product column in the appended query.

1. Choose Remove Rows > Remove Duplicates

• ?? ?? ?? ??
• ?? NFS ?? SMB ?? ??
• ?? ???? ???
• ?? IP ??? ???? ?? ???
• ??? ?? ???? ?????

• B: ????? NFS ? Snowball Edge? ?? ?? ? AWS? ?? ? S3
• D: ????? NFS ? ????/Direct Connect ? File Gateway ? S3

• Espionage: Stealing confidential information, often for a competitor or foreign entity.
• Data exfiltration: Unauthorized removal or transfer of data.
• Nation-state attack: A cyberattack sponsored or conducted by a government.
• Shadow IT: Unapproved technology or services used outside IT oversight.

• Amazon S3 as the origin for static content
• Application Load Balancer (ALB) as the origin for dynamic content
• Amazon Route 53 configured to point the company’s domain name to CloudFront

• /static/* ? S3 origin; cache content at edge locations
• Dynamic paths such as /api/* ? ALB origin; forward requests to the EC2 application

• Admin access to the deployment pipeline
• Contributor access to the Development and Test workspaces
• Viewer access to the Production workspace

• No servers or database infrastructure to provision.
• Uses standard SQL.
• Supports formats such as JSON, CSV, Parquet, and ORC.
• You typically define the table structure with AWS Glue Data Catalog or Athena’s own schema definitions.
• Charges are generally based on the amount of data scanned, so partitioning and columnar formats can reduce cost.
• It does not copy the data into a separate database; it reads the files in S3 when you run a query.

• The Azure DevOps (Boards only) connector is designed specifically for Azure DevOps Analytics views.
• It authenticates directly to Azure DevOps and lets you select an existing Analytics view.
• Filters defined in the Analytics view are applied by Azure DevOps before Power BI retrieves the data, reducing the amount of data transferred.

• Azure DevOps Server (Boards only) is for on-premises Azure DevOps Server.
• OData Feed can consume OData endpoints, but it is not the dedicated Azure DevOps Analytics-view connector.
• OData queries are not the intended dedicated connector for this requirement.

spl 
error AND host=WWW3 
status=404 OR status=500 
NOT source=access.log

• Quotation marks are used for exact phrases or values containing spaces.
• Parentheses group parts of a Boolean expression, but they are not required for every Boolean search.

• miami.weyland.com requires a custom domain, which is not available in the Free tier.
• Two instances require a tier that supports scaling out. Standard supports multiple instances.
• SSL support is available in Standard.
• 12 GB of storage exceeds the storage limit of the Basic tier in the older Azure pricing model used by this question.
• Standard provides sufficient storage and features while being cheaper than higher tiers—though higher tiers are not listed here.

• Free/Shared: insufficient features for custom domains, SSL, and multiple instances.
• Basic: supports some production features, but its storage capacity is insufficient for the required 12 GB.

• 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.

• NAT traversal: Helps WAN Edge, vSmart, and vManage devices discover how to reach one another through NAT.
• Initial orchestration: Authenticates and introduces devices when they first join the SD-WAN fabric.
• Connection brokering: Provides information that allows devices to form their required control connections, after which the vBond is generally not in the data path.

• WAN Edge: Forwards user traffic and forms secure tunnels.
• vSmart: Controls the overlay control plane and distributes routes and policies.
• vManage: Provides centralized management, configuration, and monitoring.

1. x = -100
2. -100 < x < 100
3. 100 = x < 1000
4. x = 1000

• -500 ? class 1
• 0 ? class 2
• 100 ? class 3
• 1000 ? class 4

• Two-part tariff pricing: $10 per unit
• Dual pricing: $20 per unit

Two-part tariff pricing

Dual pricing

• Division X, the seller, is credited with the market price: \(\$20\)
• Division Y, the buyer, is charged the marginal cost: \(\$10\)

1. Which host originated the infection
2. Whether each other host is clean or infected
3. Which firewall or host logs provide evidence of the infection’s movement

• Find the earliest infection-related event. The host associated with that event is the likely origin.
• Follow the timeline: outbound connections from that host may indicate propagation or command-and-control activity.
• A host receiving suspicious traffic is not automatically infected; look for evidence that it executed or initiated malicious activity.
• A firewall log can show traffic paths, but endpoint logs are usually needed to confirm infection.
• Mark a host clean only when the logs show no indicators of compromise or malicious activity.

• A — Windows 11 with Azure CLI installed: Yes

• D — Chrome OS using Azure Cloud Shell: Yes

• E — Windows 10 with the Azure PowerShell module installed: Yes

• B — Linux with only Azure CLI: No, because the option does not state that PowerShell is installed.
• C — macOS with PowerShell Core only: No, because it does not state that Azure PowerShell modules or Azure CLI are installed.

• NTLM: Uses Windows challenge-response authentication and does not provide the normal web-based MFA redirect flow.
• Single Sign-On: Automatically reuses existing credentials; it is intended to avoid prompting, not to support an MFA workflow.
• Transparent: Intercepts the session without redirecting the user to a separate authentication page.

• Sales process: Controls which Opportunity Stage values are available.
• Record type: Associates the appropriate sales process with a business scenario and controls available picklist values.
• Page layout: Controls which fields are displayed and whether they are required or read-only.

• Energy Market Team 1 ? Record Type 1, Sales Process 1, Page Layout 1
• Energy Market Team 2 ? Record Type 2, Sales Process 2, Page Layout 2
• Services/Installation Team ? Record Type 3, Sales Process 3, Page Layout 3

• Something you know: Password or PIN
• Something you have: Security token, smart card, or phone receiving an authentication code
• Something you are: Fingerprint or facial recognition
• Somewhere you are: Location-based verification

• Domínios personalizados.
• Armazenamento suficiente.
• Instâncias dedicadas.
• Balanceamento de carga.
• Menor custo entre os planos que atendem a tudo.

• Microsoft manages the physical datacenter, hardware, and virtualization.
• You manage the virtual machine’s operating system, installed software, configuration, and data.
• You choose the VM size, storage, networking, and scaling options.

• SaaS: You consume a complete application managed by the provider, such as Microsoft 365.
• PaaS: You deploy applications without managing the underlying operating system or VM infrastructure, such as Azure App Service.

• File1 contains the evaluation configuration—for example, evaluators, test data, thresholds, or evaluation parameters.
• The GitHub Actions workflow must reference that file through the evaluation-config input so the action knows which evaluation to run.
• project-endpoint identifies the Microsoft Foundry project, but it does not identify the evaluation definition. It is also typically required, but it does not answer the specific requirement about using File1.

• 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.

• A — .gitignore: Controls Git tracking; it does not configure Copilot exclusions.
• B — copilot.ignore: This is not the standard GitHub Copilot Business exclusion mechanism.
• D — Renaming files: Adding _no_copilot has no recognized effect.

• 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.

Why this is correct

• Each user authenticates with their own Google account.
• Google manages the user’s SSH key association.
• IAM controls who can access instances.
• Access can be audited by user identity, so security can determine who accessed a VM.
• Granting the role to a Google group avoids managing permissions individually.

Why the others don’t apply

• A: A shared private key is difficult to distribute securely and cannot reliably identify which employee used it.
• B: Manually collecting and deploying keys on every instance is operationally inefficient and complicates auditing.
• D: A project-wide shared key has the same identity and key-management problems as option A. It also does not provide per-user accountability.

• Security
• Availability
• Processing integrity
• Confidentiality
• Privacy

• Whether controls are suitably designed, and
• Whether they operated effectively over a period of time