In Cloud Functions, how does Google ensure security and isolation between function invocations?
- Google Cloud Functions enforces strict IAM (Identity and Access Management) policies to control access to functions and resources.
- Google Cloud Functions runs each function invocation in a separate, isolated environment with its own runtime and dependencies.
- Google Cloud Functions encrypts data at rest and in transit, ensuring the confidentiality and integrity of data processed by functions.
- Google Cloud Functions utilizes hardware-based isolation techniques, such as CPU and memory isolation, to prevent resource sharing between function invocations.
Security and isolation are critical considerations in serverless computing environments like Cloud Functions, where multiple functions may execute concurrently within the same environment. Google employs various security measures, including IAM policies and runtime isolation, to protect function invocations and data processed by Cloud Functions. Understanding these mechanisms is essential for designing secure and compliant serverless applications.
Which of the following is not a primary component of Google Kubernetes Engine?
- Docker
- Kubernetes Master
- etcd
- Kubelet
Understanding the primary components of Google Kubernetes Engine helps users grasp the underlying architecture and functionalities of the managed Kubernetes service. Recognizing what components are not part of GKE is essential for building accurate mental models of the platform.
In the context of IAM, what is the difference between service accounts and user accounts in Google Cloud?
- Service accounts are used for non-human entities and are associated with applications and workloads, allowing them to authenticate and interact with Google Cloud services programmatically.
- User accounts are for human users and are used to access Google Cloud Platform resources through the web console, command-line tools, or APIs.
- Service accounts are used for user authentication and authorization in Google Cloud Platform, while user accounts are used for managing services and resources within Google Cloud.
- Service accounts and user accounts serve the same purpose in IAM and can be used interchangeably depending on the use case and requirements.
Distinguishing between service accounts and user accounts is essential for effectively managing access control and security in Google Cloud Platform environments. Understanding their differences helps in assigning appropriate roles and permissions to entities based on their intended use.
Scenario: An e-commerce platform needs to store transaction logs for analysis purposes. Considering the access patterns of the data, which storage class in Google Cloud Platform would be the most appropriate option?
- Standard
- Nearline
- Coldline
- Archive
For storing transaction logs that require frequent access for analysis purposes, Google Cloud Storage Standard is the most appropriate option due to its low latency, high availability, and high throughput. Understanding the access patterns and requirements of the data is essential for selecting the suitable storage class in Google Cloud Platform.
TensorFlow _______ is used for data preprocessing and validation in machine learning pipelines on Google Cloud Platform.
- Dataflow
- Data Studio
- Data Fusion
- Data Preparation
TensorFlow Data Validation (TFDV) is a vital component of TensorFlow Extended (TFX) for ensuring data consistency and quality in machine learning pipelines on Google Cloud Platform. Expertise in using TFDV for data preprocessing and validation is essential for building robust and reliable machine learning models.
What is the principle of least privilege in the context of IAM?
- Granting users only the minimum level of access required to perform their job duties.
- Granting users access to all resources within a GCP project to ensure they can perform any task as needed.
- Granting users access based on their job title rather than specific tasks they need to perform.
- Granting users access only if they explicitly request it, regardless of their job duties.
Adhering to the principle of least privilege is essential for maintaining security and minimizing the risk of unauthorized access or misuse of resources within a GCP environment. Understanding this principle helps administrators design IAM policies that strike the right balance between security and usability.
Which type of load balancing distributes incoming traffic among multiple instances within the same region?
- Internal Load Balancing
- External Load Balancing
- Global Load Balancing
- Network Load Balancing
Understanding the different types of load balancing mechanisms in Google Cloud helps beginners architect scalable and resilient applications. Internal Load Balancing, in particular, is essential for optimizing network traffic flow within a regional environment, enhancing performance and reliability.
Which of the following tasks can be performed using AI Platform?
- Training machine learning models
- Sending and receiving emails.
- Managing database systems.
- Creating virtual machines.
Understanding the tasks that can be performed using AI Platform helps beginners grasp the capabilities and limitations of the platform for building and deploying machine learning models.
Cloud Identity provides centralized _______ management for users and groups.
- Identity
- Resource
- Access
- Data
Understanding the capabilities of Cloud Identity is essential for organizations to effectively manage user access and security across their Google Cloud environments. Centralized identity management simplifies user administration and enhances security.
Cloud CDN serves content from _______ locations worldwide.
- Edge
- Regional
- Centralized
- Local
Cloud CDN utilizes a network of edge locations worldwide to cache and deliver content closer to users, thereby reducing latency and improving access speeds. These edge locations are crucial for the efficient functioning of a CDN.