How can you prevent excessive spending on queries in BigQuery?
To prevent excessive spending on queries in BigQuery, there are several best practices and techniques that can be implemented. By following these guidelines, users can optimize their query performance and reduce costs associated with query execution. 1. Query Optimization: – Use query planning tools: BigQuery provides tools like the Query Plan and the Query Validator
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, Getting started with GCP, Setting up cost controls for BigQuery, Examination review
How can you confirm that messages are being published to the Pub/Sub topic in Cloud IoT Core?
To confirm that messages are being published to the Pub/Sub topic in Cloud IoT Core, you can follow a few steps. First, you need to ensure that you have set up your device registry, created a device, and associated it with the Pub/Sub topic. This can be done through the Cloud Console or programmatically using
How does the integration between GCP and Firebase enable developers to build robust and scalable applications?
The integration between Google Cloud Platform (GCP) and Firebase provides developers with a powerful set of tools and services to build robust and scalable applications. This integration allows developers to leverage the strengths of both platforms, combining the scalability and flexibility of GCP with the real-time data synchronization and ease of use of Firebase. One
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, GCP overview, GCP and Firebase with functions and Firestore, Examination review
What is Cloud Functions in Google Cloud Platform (GCP) and Firebase, and how does it work?
Cloud Functions is a serverless execution environment provided by Google Cloud Platform (GCP) and Firebase that allows developers to build and deploy event-driven applications and microservices without the need to manage infrastructure. It provides a scalable and efficient way to run code in response to events, such as changes to data in a database, uploads
What are the key features and benefits of Google Kubernetes Engine (GKE)?
Google Kubernetes Engine (GKE) is a managed container orchestration service provided by Google Cloud Platform (GCP). It simplifies the deployment, management, and scaling of containerized applications using Kubernetes, an open-source container orchestration platform. GKE offers several key features and benefits that make it a popular choice for running containers on GCP. 1. Scalability: GKE allows
How can the gcloud command line tool be used to manage GCP resources and what are some of the tasks it can perform?
The gcloud command line tool is a powerful and versatile tool provided by Google Cloud Platform (GCP) that allows developers and administrators to manage their GCP resources efficiently. It provides a command-line interface (CLI) to interact with various GCP services, enabling users to perform a wide range of tasks related to resource management, deployment, configuration,
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, Introductions, GCP developer and management tools, Examination review
What is one common use case for tf.Print in TensorFlow?
One common use case for tf.Print in TensorFlow is to debug and monitor the values of tensors during the execution of a computational graph. TensorFlow is a powerful framework for building and training machine learning models, and it provides various tools for debugging and understanding the behavior of the models. tf.Print is one such tool
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Google tools for Machine Learning, Printing statements in TensorFlow, Examination review
How can you monitor the progress of a training job in the Cloud Console?
To monitor the progress of a training job in the Cloud Console for distributed training in Google Cloud Machine Learning, there are several options available. These options provide real-time insights into the training process, allowing users to track the progress, identify any issues, and make informed decisions based on the training job's status. In this
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Further steps in Machine Learning, Distributed training in the cloud, Examination review