The entry point for a Cloud Function is defined in the _______ file.
- Function
- Configuration
- Package
- Manifest
Knowing where to define the entry point for a Cloud Function is essential for writing and deploying functions correctly on Google Cloud Platform.
_______ enables declarative deployment and management of Google Cloud Platform resources.
- Google Cloud Deployment Manager
- Google Kubernetes Engine
- Google Cloud Functions
- Google Cloud Storage
Google Cloud Deployment Manager simplifies resource management by allowing users to define infrastructure configurations declaratively, improving consistency and scalability.
Stackdriver Logging integrates with Google Cloud _______ to provide real-time analysis and visualization of log data.
- BigQuery
- Pub/Sub
- Cloud Storage
- Monitoring
Google Cloud Monitoring integrates with Stackdriver Logging to provide real-time analysis and visualization of log data, enabling users to gain insights into their applications' performance and behavior.
What permissions are required to access billing data using Cloud Billing APIs?
- Billing Account Viewer
- Project Owner
- Network Admin
- Storage Admin
The Billing Account Viewer role provides the necessary permissions to access and view billing data using Cloud Billing APIs, ensuring users can retrieve billing information without broader access.
In Google Cloud, what does "tier" typically refer to when discussing network services?
- A set of network performance and reliability levels offered by Google Cloud for different types of applications and workloads.
- A classification of virtual machine instances based on their computational resources.
- A pricing model for Google Cloud network services based on usage and data transfer.
- A security protocol used for encrypting data transmitted over Google Cloud networks.
Understanding what "tier" typically refers to in the context of Google Cloud network services helps beginners grasp the terminology and concepts related to optimizing network performance and reliability.
Scenario: A data science team needs to build and deploy a machine learning pipeline using TensorFlow on Google Cloud Platform. Which tool or service should they use for orchestrating the pipeline efficiently?
- Google Cloud Composer
- Google Cloud Dataflow
- Google Cloud Dataprep
- Google Cloud Functions
Google Cloud Composer is specifically designed for orchestrating workflows and pipelines, making it an ideal choice for efficiently managing the end-to-end process of building and deploying machine learning pipelines using TensorFlow on Google Cloud Platform.
How does Cloud CDN improve website performance and user experience?
- Reducing latency by caching content closer to users
- Increasing server processing power
- Providing additional storage for websites
- Improving SEO rankings
Cloud CDN enhances website performance by caching content at geographically distributed locations, thus reducing latency and speeding up content delivery. This leads to a better user experience with faster page loads.
What container orchestration system is used by Google Kubernetes Engine?
- Kubernetes
- Docker Swarm
- Apache Mesos
- Amazon ECS
Understanding the underlying technology behind Google Kubernetes Engine, such as the container orchestration system it employs, is crucial for intermediate users who are expected to work with GKE clusters and manage containerized applications effectively.
What are the advantages of using managed instance groups with autoscaling in Google Compute Engine?
- Automatic Instance Replacement
- Centralized Management
- Integration with Load Balancers
- Built-in Monitoring and Logging
Leveraging managed instance groups with autoscaling in Google Compute Engine offers several advantages, including automated instance replacement, centralized management, integration with load balancers, and built-in monitoring and logging. These features help streamline operations and improve the reliability and scalability of applications running on the platform.
Scenario: A data engineer wants to perform complex data transformations and analytics on batch data. Which service should they choose in Google Cloud?
- Google Cloud Dataproc
- Google Cloud Bigtable
- Google Cloud Dataflow
- Google Cloud Composer
Data engineers need to choose the right tools for performing complex data transformations and analytics on batch data. Google Cloud Dataproc provides the necessary capabilities and integration with popular data processing frameworks like Apache Spark and Hadoop.
Scenario: A company wants to host its website on Google Cloud and manage DNS records efficiently. Which service should they use?
- Cloud DNS
- Compute Engine
- Cloud Storage
- App Engine
Understanding the appropriate services for hosting websites and managing DNS records is crucial for organizations migrating to Google Cloud. Cloud DNS offers the necessary features and scalability to efficiently manage DNS infrastructure.
With Cloud Identity, organizations can enforce _______ policies for user authentication.
- Authentication
- Authorization
- Encryption
- Monitoring
Enforcing strong authentication policies is crucial for protecting against unauthorized access and ensuring the security of organizational data and resources. Cloud Identity provides tools and capabilities to help organizations implement and manage these policies effectively.