Associate-Cloud-Engineer Question Includes: Single Choice Questions: 266, Multiple Choice Questions: 3,
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The Google Associate-Cloud-Engineer certification validates your ability to deploy and secure applications, services, and infrastructure on Google Cloud.
The Google Associate-Cloud-Engineer exam is ideal for cloud professionals with 1+ years of experience managing and deploying cloud solutions on GCP. It's also a valuable credential for IT professionals transitioning to the cloud or seeking to specialize in Google Cloud technologies.
The Associate-Cloud-Engineer exam focuses on five key areas:
The Google Associate-Cloud-Engineer exam typically consists of 50 multiple-choice questions.
The duration of the Google Associate-Cloud-Engineer exam is 2 hours.
The passing score for the Google Associate-Cloud-Engineer exam is 70%.
The Google Associate-Cloud-Engineer and Professional-Data-Engineer exams are both certifications focused on Google Cloud Platform (GCP), but they cater to different levels of expertise and job roles.
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You are building a pipeline to process time-series data. Which Google Cloud Platform services should you put in boxes 1,2,3, and 4?
You want to configure autohealing for network load balancing for a group of Compute Engine instances that run in multiple zones, using the fewest possible steps. You need to configure re-creation of VMs if they are unresponsive after 3 attempts of 10 seconds each. What should you do?
You are running a data warehouse on BigQuery. A partner company is offering a recommendation engine based on the data in your data warehouse. The partner company is also running their application on Google Cloud. They manage the resources in their own project, but they need access to the BigQuery dataset in your project. You want to provide the partner company with access to the dataset What should you do?
You have an application that receives SSL-encrypted TCP traffic on port 443. Clients for this application are located all over the world. You want to minimize latency for the clients. Which load balancing option should you use?
Your company has a Google Cloud Platform project that uses BigQuery for data warehousing. Your data science team changes frequently and has few members. You need to allow members of this team to perform queries. You want to follow Google-recommended practices. What should you do?