Test Prep CFA-Level-I Exam Prep
CFA® Level I Chartered Financial Analyst (Page 250 )

• Box 1: No — The rule requires user.department to equal Engineering. Engineer does not match, so User1 is not in AU1. Admin1 cannot reset User1’s password.
• Box 2: No — Admin1’s role is scoped to AU1 and cannot manage users outside that AU.
• Box 3: Yes — Admin2 is a Global Administrator and can reset User3’s password.

• SQL injection: Manipulates database queries through application input.
• XML external entities (XXE): Abuses XML parsers to access files, internal systems, or other resources.
• Cross-Site Request Forgery (CSRF): Tricks an already authenticated user’s browser into sending an unwanted request. It generally does not steal session cookies.

• Accept terms of use
• Enter a temporary code or credentials
• Provide basic registration information

• Enterprise authentication — Authenticates organizational users, often with centralized identity services; it is not specifically designed for temporary guest access.
• Ad hoc network — A temporary device-to-device network, not an authentication process.
• WPA3 — A wireless security standard. It protects Wi-Fi access but does not provide the web-based temporary access workflow described here.

• New investment: $536,500
• Resulting NPV: $0

1. Open the Microsoft Entra Connect wizard.
2. Select Configure.
3. Choose Customize synchronization options.
4. Authenticate when prompted.
5. On the Domain and OU filtering page, select:

1. Complete the wizard.

• Start-ADSyncSyncCycle only starts synchronization; it does not change which OUs are included.
• Manage federation configures federation settings, which are unrelated to OU filtering.
• Add-ADSyncConnectorAttributeInclusion concerns connector attributes, not selecting additional OUs for synchronization.

• 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.

• A single summarized value, such as total annual sales
• Progress toward a defined target or goal
• Whether performance is below, near, or above the target

• Table: Displays detailed records or summarized rows, but not goal progress visually.
• Stacked Bar: Compares multiple categories and their parts.
• Donut: Shows how a total is divided among categories, not progress toward a target.

• Matching hashes: The software likely has not changed.
• Different hashes: The software was modified or corrupted.

• Encryption: Protects confidentiality by making data unreadable; it does not primarily detect changes.
• Baselines: Define an approved system or configuration state, but they are not the specific integrity mechanism here.
• Tokenization: Replaces sensitive data with substitute values.

• Help the team identify the root causes of delays.
• Empower the team to improve its workflow and practices.
• Facilitate removal of impediments.
• Avoid directing the team toward a solution without its involvement.
• Protect quality and sustainable delivery rather than simply accelerating everything.

• A: An impediment log may help, but merely recording problems does not empower the team to solve them.
• B: Directing the team to solutions conflicts with self-management.
• C: Adding impediments to the product backlog may incorrectly treat internal obstacles as product features and delays their resolution.

bash 
OTEL_SERVICE_NAME=foundry-agent

bash 
OTEL_SERVICE_NAME=langchain-service

python 
import os 


os.environ["OTEL_SERVICE_NAME"] = "langchain-service" 


from azure.ai.openai... # import your tracing components 
from azure.monitor.opentelemetry import configure_azure_monitor 


configure_azure_monitor( 
    connection_string=os.environ["APPLICATIONINSIGHTS_CONNECTION_STRING"] 
)

• Agent application: OTEL_SERVICE_NAME=foundry-agent
• LangChain application: OTEL_SERVICE_NAME=langchain-service

• The product is already in production.
• The organization is examining the product’s functions and cost drivers.
• The objective is to reduce cost without reducing perceived value or required quality.

• Kaizen costing focuses on continuous, usually incremental, cost reductions during the manufacturing stage. It is not specifically the systematic examination of a product’s functions.
• Standard costing compares actual costs with predetermined standards; it is a control technique, not a product redesign method.
• Process innovation concerns developing significantly improved production processes, rather than analysing the product’s functions and value.

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

• Due diligence: Investigating and evaluating a third party before entering a business relationship.
• Attestation: An independent auditor’s examination and formal report—such as the SOC 2 report itself. The analyst is reviewing the attestation, not performing it.
• Internal audit: Examines the organization’s own processes and controls.
• Penetration testing: Actively tests systems for exploitable vulnerabilities.

• Standardize which services users can deploy
• Apply governance and access controls
• Manage approved product versions
• Give users self-service access to authorized resources

• AWS Control Tower: Sets up and governs a multi-account AWS environment.
• AWS Cloud Map: Provides service discovery for applications.
• AWS Clean Rooms: Enables privacy-preserving collaboration on data analysis.

DAX 
Sales % of Total = 
DIVIDE( 
    [Total Sales], 
    CALCULATE( 
        [Total Sales], 
        ALLSELECTED(Products) 
    ) 
)

DAX 
Total Sales = 
SUM(Sales[SalesAmount])

Why ALLSELECTED is required

• The numerator, [Total Sales], is evaluated for the current product.
• ALLSELECTED(Products) removes the current product’s visual filter when calculating the denominator.
• It preserves filters applied at the report, page, or slicer level.

Why not ALL(Products)?

DAX 
CALCULATE([Total Sales], ALL(Products))

• Reduce the training data: Usually makes overfitting worse.
• Add hyperparameters: Hyperparameters already control training; simply adding them does not solve the problem. Proper tuning could help, but that is not what the option states.
• Increase training time: More training can worsen overfitting if the model is already memorizing the training data.

• 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.

• 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.

1. Install a Cassandra-compatible ODBC driver.
2. Configure a data source name (DSN), if required.
3. In Power BI Desktop, select Get Data > ODBC.
4. Choose the configured DSN and connect.

• Microsoft SQL Server database: Connects to SQL Server, not Cassandra.
• OLE DB: Requires a compatible OLE DB provider; this is not the standard choice for Cassandra in Power BI.
• OData: Requires Cassandra data to be exposed through an OData service, which is not the normal direct connection method.

• 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.

1. Start with the number of devices: 260 usable addresses.
2. Use the formula:

1. Test the host-bit values:

1. IPv4 has 32 total bits:

• /24: 254 usable — too small
• /23: 510 usable — sufficient
• /22: 1,022 usable — more waste
• /21: 2,046 usable — even more waste

• Regression predicts continuous numeric outcomes, such as house price, temperature, or sales amount.
• Linear regression assumes the target can be estimated from a linear relationship between the input features and the target.
• In Azure Machine Learning, you use a labeled dataset containing:

• Classification predicts a category or class, such as “spam” or “not spam.”
• Clustering groups similar records without a known label; it is an unsupervised learning technique.

• Required response and resolution times
• Availability or uptime targets
• Performance standards
• Support obligations
• Remedies or penalties for failing to meet the terms

• SOW (Statement of Work): Defines the project’s scope, tasks, deliverables, and schedule.
• MOA (Memorandum of Agreement): Describes agreed responsibilities between parties, often for a specific activity.
• MOU (Memorandum of Understanding): Records a mutual understanding or intention, usually less formal than a contract.

• 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.

• Third-party enterprise application with embedded AI: The provider manages most security controls. The customer mainly manages users, data, and configuration.
• Application using an existing third-party FM: The customer controls the application and its inputs/outputs, but the provider controls the underlying model and infrastructure.
• Fine-tuning a third-party FM: The customer has additional responsibility for training data, data protection, and model behavior, but still depends on the provider’s base model and platform.
• Building and training a model from scratch: The customer controls the model, training data, application, deployment, and many security safeguards. This creates the greatest security ownership.

• Streams — track change data for tables or views.
• External tables — reference data stored in an external cloud storage location.

• Role — account-level security object.
• Warehouse — account-level compute resource.
• User — account-level security object.
• Share — account-level object used to share data.

• Lead investigator: Coordinates the investigation and directs the response.
• Information security representative: Provides security expertise and helps assess the incident.
• Technical representative: Preserves system evidence, takes forensic backups, and supports technical analysis.
• Legal representative: Advises on legal, regulatory, privacy, and evidence-handling requirements.

• File is shared externally ? Access level

• File is labeled “Internal only” ? Sensitivity label

• Prevention costs: Avoiding defects, such as staff training and improved product design. The company has invested in these.
• Appraisal costs: Detecting defects before products reach customers, such as inspection and testing. The planned batch sampling has not been implemented.
• Internal failure costs: Correcting defects found before delivery.
• External failure costs: Dealing with defects after delivery, such as refunds, replacements, complaints and lost sales.

• Plenum: Describes a fire-resistant cable jacket rating, not a transmission medium or speed.
• Ethernet: Describes a networking technology; Ethernet can use copper or fiber, so the term alone does not identify the fastest cable type.
• DAC (Direct Attach Copper): Uses copper and is typically intended for short-distance, high-speed connections in data centers.

• Base table — the table containing common inherited fields
• Parent table — the table directly extended by the child
• Other tables in the hierarchy

• Disabling a compromised account
• Blocking a malicious IP address
• Isolating an endpoint
• Creating or escalating an incident ticket

• Virus signatures: Primarily associated with antivirus or endpoint protection.
• Security agent deployment: Usually handled by endpoint-management or security-agent platforms.
• Vulnerability scanning: Typically performed by vulnerability-management tools.

• A is incorrect: Flow Debugger is for debugging Salesforce Flows, not Trust Layer masking.
• B is incomplete/misleading: Requesting audit data may be part of reviewing the results, but collection and storage must first be enabled.
• C is correct: It describes the initial validation step.

• 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

• PC A: 192.168.1.10/24
• PC B: 192.168.2.10/24

• Both PCs have a correct default gateway
• A router or Layer 3 switch connects the subnets
• Routing and firewall rules allow the traffic

• terraform apply
• terraform destroy

• Feedback form: Captures opinions, not necessarily actual behavior; users may not respond.
• Questionnaire: Relies on memory and subjective judgments about usefulness.
• Interviews: Can provide valuable qualitative insights, but a sample of users may not represent overall usage accurately.

• Load balancer: Distributes application traffic; it does not protect switch MAC tables.
• IPS: May detect some attack traffic, but it is not the primary control for switch-port MAC learning.
• NGFW: Protects at network boundaries but does not directly limit MAC addresses learned on access ports.

• Access List: controls whether a client is allowed or denied.
• Connect List: controls which wireless networks/APs a station may connect to.

• Virus signatures: Primarily associated with antivirus or antimalware tools.
• Security agent deployment: Usually handled by endpoint-management or endpoint-security platforms.
• Vulnerability scanning: Performed by vulnerability-assessment tools, although a SIEM may ingest their results.

• Use the grant-date fair value: $30
• Do not remeasure to the year-end value of $45
• Update the estimate of employees expected to vest

• Dr Share-based payment expense $450,000
• Cr Equity/share option reserve $450,000

• 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.

• 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.

• 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.

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

• 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.

• Data only needs to be current at 7 AM each day, so scheduled refresh is sufficient.
• Import mode provides the fastest report interaction because data is stored in Power BI’s in-memory engine.
• It supports row-level security (RLS), including the USERNAME() filter.
• You can limit the imported data to the current year and previous three years to reduce model size.
• DirectQuery would generally provide slower visual response times and is unnecessary here.
• Dual is mainly useful in composite models where some tables use DirectQuery and others use Import. That is not required by this scenario.
• Live connection is not appropriate because you are creating the semantic model.

• Red team: Offensive security; simulates attackers and validates exploitability.
• Blue team: Defensive security; monitors, detects, and responds to attacks.
• Purple team: Helps red and blue teams collaborate and improve defenses; not usually the primary testing role.
• White team: Oversees and coordinates the rules, scope, and authorization of an exercise.

• Business risks
• Potential financial, operational, legal, or reputational impact
• How governance reduces risk to organizational objectives
• How much risk the organization is willing to accept