What is the purpose of Google Cloud Deployment Manager?
- Automate the creation and management of Google Cloud resources
- Monitor network traffic
- Schedule backups
- Manage user authentication
Google Cloud Deployment Manager simplifies resource management by automating the creation, deployment, and updating of infrastructure resources, enhancing efficiency and consistency in cloud environments.
Scenario: A company wants to deploy a TensorFlow model for image classification at scale. Which Google Cloud service should they use, considering scalability and efficiency?
- Google Kubernetes Engine (GKE)
- Google Compute Engine (GCE)
- Google Cloud Functions
- Google AI Platform
Google AI Platform is specifically designed to address the requirements of deploying machine learning models, including TensorFlow models, at scale on Google Cloud Platform. It offers features such as model versioning, scaling, and monitoring, making it the most suitable choice for the given scenario.
BigQuery is capable of analyzing and processing _______ datasets.
- Big
- Small
- Medium
- Structured
Understanding the scalability and capacity of BigQuery is essential for leveraging its capabilities effectively in data analytics projects. Recognizing its ability to handle large datasets is particularly important for intermediate users familiarizing themselves with the platform.
_______ allows users to create backups of Persistent Disk data for disaster recovery.
- Cloud Snapshot
- Cloud Storage
- Cloud Backup
- Cloud Archive
Understanding the backup options available for Persistent Disk data is essential for implementing robust disaster recovery strategies on Google Cloud Platform.
In Pub/Sub, what is the role of a subscriber?
- A subscriber is responsible for receiving and processing messages from Pub/Sub topics.
- A subscriber is responsible for publishing messages to Pub/Sub topics.
- A subscriber is responsible for managing access control and permissions for Pub/Sub topics.
- A subscriber is responsible for managing the storage and retention policies for messages in Pub/Sub topics.
Understanding the roles and responsibilities of subscribers in Pub/Sub is crucial for designing efficient message processing pipelines and event-driven architectures. Subscribers play a key role in consuming and acting upon messages published to Pub/Sub topics, enabling asynchronous and decoupled communication between components.
What is Stackdriver Logging used for in Google Cloud?
- Logging and monitoring of applications and infrastructure
- Virtual Machine Management
- DNS Management
- Content Delivery Network
Stackdriver Logging is a critical tool for managing logs in Google Cloud, providing visibility into application and infrastructure behavior for troubleshooting and analysis.
TensorFlow on GCP leverages _______ for scalable and efficient model training.
- TensorFlow Extended (TFX)
- Kubernetes
- BigQuery
- Cloud Functions
TensorFlow Extended (TFX) is a key component of TensorFlow on GCP, providing a comprehensive solution for building, training, and deploying machine learning models at scale. Understanding the role of TFX in model training is essential for intermediate users of Google Cloud Platform.
Scenario: A team is looking for a serverless solution for data processing to avoid managing infrastructure. Which Google Cloud service would fulfill this requirement effectively?
- Google Cloud Dataflow
- Google Cloud Dataproc
- Google Cloud Pub/Sub
- Google BigQuery
Choosing a serverless solution for data processing can simplify infrastructure management and reduce operational overhead. Google Cloud Dataflow provides serverless capabilities for both stream and batch processing, making it an effective choice for teams looking to avoid managing infrastructure while processing data.
In Google Cloud's Network Service Tiers, the _______ tier provides the highest level of performance and availability.
- Premium
- Standard
- Basic
- Advanced
Understanding the characteristics of each tier in Google Cloud's Network Service Tiers helps users select the appropriate tier to meet the performance and availability requirements of their applications.
Scenario: A large enterprise with a complex IT infrastructure is looking to improve its access control and security policies. How can Cloud Identity assist them in achieving their goals?
- Cloud Identity-Aware Proxy (IAP)
- Google Cloud IAM
- Google Cloud Security Command Center
- Google Cloud Identity Platform
Cloud Identity offers a range of features, including Cloud Identity-Aware Proxy (IAP), that help enterprises improve access control and security policies by providing granular control over user access to cloud applications and resources, enhancing security without sacrificing user experience.