Azure Developer Associate (D306)
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Free Azure Developer Associate (D306) Questions
What is the maximum number of stored access policies that can be associated with an Azure Storage account's container, table, queue, or file share simultaneously?
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1
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5
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10
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100
Explanation
Correct Answer
C. 10
Explanation
Azure Storage supports the use of stored access policies to help manage shared access signatures (SAS). For each container, table, queue, or file share, you can associate up to 10 stored access policies. These policies allow administrators to centrally manage constraints for one or more SAS tokens, providing better control over SAS expiry times and permissions.
Why other options are wrong
A. 1
While one policy might be sufficient for some use cases, Azure allows up to 10. Limiting it to only 1 would reduce flexibility and control in managing SAS tokens.
B. 5
This value underestimates Azure's capability. Though 5 might be a reasonable number, Azure's actual limit is higher, allowing for more scalability and management options.
D. 100
This exceeds the actual limit. Azure enforces a maximum of 10 stored access policies per entity, so 100 is incorrect and not supported by the service.
In a JSON Web Token (JWT), what is the purpose of the signature?
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To act as a ledger, recording when a transaction was made
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To encrypt the data in the payload, such that it cannot be decoded without the private key
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To ensure the data came from a trusted source with the secret, and not an outside source without the secret
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To gain an authorization token from the authorization server
Explanation
Correct Answer
C. To ensure the data came from a trusted source with the secret, and not an outside source without the secret
Explanation
The signature in a JSON Web Token (JWT) is used to verify that the data (the payload) has not been altered and that it came from a trusted source that has the secret key. The signature is created by applying a cryptographic algorithm to the header and payload, and it is used by the receiving party to validate the authenticity of the token. This ensures data integrity and authenticity.
Why other options are wrong
A. To act as a ledger, recording when a transaction was made
The signature does not record transactions; rather, it verifies the integrity and authenticity of the token. A ledger is typically used in other contexts, such as blockchain, but not in the case of JWT signatures.
B. To encrypt the data in the payload, such that it cannot be decoded without the private key
The signature does not encrypt the data in the payload. Instead, the data is typically encoded and signed for verification. Encryption, on the other hand, ensures confidentiality, which is a different process from signing.
D. To gain an authorization token from the authorization server
The signature does not grant an authorization token. The authorization server issues the JWT token, and the signature is used later to verify its authenticity.
Azure Resource Manager uses which format for its templating system
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XML
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YAML
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JSON
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HTML
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CSV
Explanation
Correct Answer
C. JSON
Explanation
Azure Resource Manager (ARM) templates are written in JSON (JavaScript Object Notation). JSON provides a lightweight, structured, and human-readable format that defines the infrastructure and configuration for Azure deployments. ARM templates describe resources and their properties, dependencies, and configurations in a declarative way, making them ideal for infrastructure-as-code scenarios.
Why other options are wrong
A. XML
While XML has been used in older Microsoft technologies, ARM templates do not use XML. JSON is the standard for Azure Resource Manager.
B. YAML
Although YAML is used in Azure Bicep and some DevOps pipelines, ARM templates specifically use JSON.
D. HTML
HTML is used for web page structure and presentation, not for defining infrastructure in Azure.
E. CSV
CSV is used for tabular data, not for complex infrastructure definitions or configurations.
A developer is working on a project that requires efficient data retrieval in Cosmos DB, but the existing item properties do not lend themselves to effective partitioning. If the developer decides to use a synthetic key, which of the following strategies could they employ to create this key?
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Concatenate multiple item properties into a single string.
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Use a hash function on the item properties to generate a unique identifier.
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Select a random number as the synthetic key.
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Utilize a timestamp as the synthetic key.
Explanation
Correct Answer
B. Use a hash function on the item properties to generate a unique identifier.
Explanation
Using a hash function on multiple item properties can create a synthetic key that is both unique and effective for partitioning in Cosmos DB. By generating a hash of the item properties, the key will distribute data more evenly across partitions, improving retrieval efficiency and performance. The hash will be consistent, ensuring that related data items are stored together, which is important for efficient querying.
Why other options are wrong
A. Concatenate multiple item properties into a single string.
Concatenating item properties into a single string might work in some cases, but it could lead to uneven distribution and poor partitioning if the resulting string values are not uniformly distributed. This may cause hot partitions, where one partition receives much more data than others, impacting performance.
C. Select a random number as the synthetic key.
Selecting a random number may lead to poor partitioning in some cases. Random keys may be evenly distributed initially, but they lack meaningful correlation with the data, which could complicate queries that need to operate on related items. Also, it can lead to inefficient querying and indexing in some scenarios.
D. Utilize a timestamp as the synthetic key.
Using a timestamp can create issues with partitioning if the data insertion rate is high, as items with similar timestamps may be grouped together, leading to potential hotspotting. This could also result in inefficient queries as the synthetic key is not guaranteed to be uniformly distributed.
Which resource provider is used in an Azure Resource Manager (ARM) template to deploy a virtual machine?
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Microsoft.Compute
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Microsoft.Network
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Microsoft.Storage
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Microsoft.Web
Explanation
Correct Answer
A. Microsoft.Compute
Explanation
Microsoft.Compute is the resource provider used in an Azure Resource Manager (ARM) template to deploy virtual machines. This resource provider handles the creation and management of compute resources, including virtual machines, virtual machine scale sets, and other computer-related services.
Why other options are wrong
B. Microsoft.Network
Microsoft.Network is the resource provider used to deploy and manage networking resources in Azure, such as virtual networks, subnets, load balancers, and network security groups. It is not used to deploy virtual machines.
C. Microsoft.Storage
Microsoft.Storage is the resource provider used for managing storage resources in Azure, such as storage accounts, blobs, queues, and files. While virtual machines use storage resources, the virtual machine itself is deployed via Microsoft.Compute.
D. Microsoft.Web
Microsoft.Web is the resource provider used for managing web applications, web apps, and app services in Azure. It is not responsible for deploying virtual machines.
Explain the role of the parameter in the Run method of an Azure Function that is triggered by Azure Event Grid events.
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It specifies the return type of the function.
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It indicates the event data that the function will process.
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It defines the access level of the function.
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It determines the execution time of the function.
Explanation
Correct Answer
B. It indicates the event data that the function will process.
Explanation
In an Azure Function triggered by Azure Event Grid, the parameter in the Run method represents the event payload delivered by Event Grid. This parameter typically takes the form of an EventGridEvent object, which includes important details like event type, subject, and data. This allows the function to access and process the event contents, enabling event-driven logic.
Why other options are wrong
A. It specifies the return type of the function
The return type of the function is defined separately and not by the parameter itself. The parameter only handles the incoming event.
C. It defines the access level of the function
Access level (like public or private) is defined by the function's configuration or route, not the method parameter.
D. It determines the execution time of the function
Execution time is influenced by the runtime environment and function logic, not the parameter in the Run method.
A developer stores a secret, named secret1, in an Azure Key Vault named kv1. The developer must retrieve the most recent secret, version 12345, using a URL. What is the format for the URL?
Explanation
Correct Answer
A. https://kv1.vault.azure.net/secrets/secret1/12345
Explanation
The proper format for accessing a specific version of a secret in Azure Key Vault follows this URL structure:
https://<keyvault-name>.vault.azure.net/secrets/<secret-name>/<version>
In this case, the Key Vault is kv1, the secret is secret1, and the version is 12345. This URL format ensures the request targets the exact version of the secret.
Why other options are wrong
B. https://kv1.vault.azure.net/secret1/12345
This URL is incorrectly formatted; it misses the required "secrets" path segment.
C. https://kv1.vault.azure.net/secrets/12345
This URL is missing the secret name and cannot uniquely identify which secret's version is being requested.
D. https://kv1.vault.azure.net/secret1/12345/secrets
This reverses the proper structure and would result in an invalid request. The secret name should follow the "secrets" segment.
What is the primary purpose of the instrumentation key in Azure Application Insights?
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To define the connection endpoint for the application
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To authenticate the application with Azure services
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To uniquely identify the application and send telemetry data
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To manage access permissions for the application
Explanation
Correct Answer
C. To uniquely identify the application and send telemetry data
Explanation
The instrumentation key in Azure Application Insights is used to uniquely identify an application and send telemetry data from that application to the correct Application Insights resource. It helps the system track application performance, errors, and usage, making it essential for monitoring and diagnostics.
Why other options are wrong
A. To define the connection endpoint for the application
The instrumentation key does not define the connection endpoint. It is used to associate telemetry data with the correct Application Insights resource rather than configuring the connection endpoint.
B. To authenticate the application with Azure services
Authentication for Azure services is managed through Azure Active Directory (AAD) or other authentication methods, not through the instrumentation key.
D. To manage access permissions for the application
Access permissions are managed through Azure roles and permissions, not through the instrumentation key, which is solely for identifying and tracking telemetry data from the application.
What can you do to ensure your Azure Redis Cache removes keys proactively instead of waiting until memory is full?
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Set an expiration value on your keys.
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Set a low maximum cache size.
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Store the time of last access alongside the key-values, and periodically remove keys that you consider old.
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Periodically clear the entire cache.
Explanation
Correct Answer
A. Set an expiration value on your keys.
Explanation
Setting an expiration value on your keys ensures that keys are automatically removed after a specified period. This helps to proactively manage cache memory by making sure that old or unused keys do not persist indefinitely, allowing for better memory management.
Why other options are wrong
B. Set a low maximum cache size.
Setting a low maximum cache size will not proactively remove keys based on their age or usage; instead, it might cause keys to be evicted once the cache size limit is exceeded. This doesn't guarantee that keys will be removed before reaching the cache size limit.
C. Store the time of last access alongside the key-values, and periodically remove keys that you consider old.
While storing the time of last access can help identify old keys, manually managing this data and periodically removing keys requires more complex logic. It is less efficient than setting an expiration value directly, which automates the process.
D. Periodically clear the entire cache.
Clearing the entire cache periodically is an inefficient way to manage memory. It can cause unnecessary data loss and impact performance, as all cached data would be removed regardless of its relevance or expiration status.
Explain the primary purpose of Azure Durable Functions in the context of serverless computing.
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To manage messaging between different Azure services.
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To provide a framework for building stateful workflows in serverless applications.
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To facilitate the deployment of resources in Azure.
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To enable the execution of simple functions without state management.
Explanation
Correct Answer
B. To provide a framework for building stateful workflows in serverless applications.
Explanation
Azure Durable Functions is an extension of Azure Functions that allows for the creation of stateful workflows in a serverless environment. These workflows can maintain state across multiple function executions, which is essential for long-running processes or those that require coordination between different tasks. Durable Functions enables orchestration, tracking, and management of the workflow while maintaining its state, making it ideal for complex serverless applications that need to retain information over time.
Why other options are wrong
A. To manage messaging between different Azure services.
While Durable Functions can interact with other Azure services, their primary purpose is not messaging. Messaging is typically handled by services like Azure Service Bus or Event Grid. Durable Functions are designed to manage stateful workflows, not just message management.
C. To facilitate the deployment of resources in Azure.
Azure Durable Functions is not focused on resource deployment but rather on orchestration and state management for serverless workflows. Resource deployment is typically handled by tools like Azure Resource Manager or Azure DevOps.
D. To enable the execution of simple functions without state management.
This option describes the traditional Azure Functions model, which is stateless and executes simple tasks. Durable Functions, on the other hand, are specifically designed to manage workflows that require state persistence and orchestration, which is not addressed by stateless functions.
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