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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Exploring Data Transformation with Google Cloud | 17% | - Modern data architectures and solutions - Data-driven decision making and business value - Google Cloud data storage and analytics services - Data lifecycle management and governance |
| Topic 2: Trust and Security with Google Cloud | 17% | - Risk management and incident response - Security principles and shared responsibility model - Identity and access management - Data security, encryption, and compliance |
| Topic 3: Modernize Infrastructure and Applications with Google Cloud | 17% | - Application modernization: containers, Kubernetes, serverless - Hybrid and multi-cloud environments - Migration and modernization strategies - Compute, storage, and networking solutions |
| Topic 4: Digital Transformation with Google Cloud | 17% | - Google Cloud global infrastructure and resource management - Cost management and pricing models in Google Cloud - Cloud service models: IaaS, PaaS, SaaS - Impact of cloud infrastructure on business flexibility, scalability, and agility |
| Topic 5: Innovating with Google Cloud Artificial Intelligence | 16% | - Use cases for AI in business operations and customer experience - Responsible AI principles and practices - Google Cloud AI/ML products and tools - AI and ML fundamentals and business application |
| Topic 6: Scaling with Google Cloud Operations | 16% | - Monitoring, logging, and observability tools - Business continuity and disaster recovery - Operational excellence and reliability - Automation and infrastructure as code |
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NEW QUESTION # 39
You are a program manager within a Software as a Service (SaaS) company that offers rendering software for animation studios. Your team needs the ability to allow scenes to be scheduled at will and to be interrupted at any time to restart later. Any individual scene rendering takes less than 12 hours to complete, and there is no service-level agreement (SLA) for the completion time for all scenes. Results will be stored in a global Cloud Storage bucket. The compute resources are not bound to any single geographical location. This software needs to run on Google Cloud in a cost-optimized way.
What should you do?
Answer: A
NEW QUESTION # 40
When creating machine learning models, a key initial step is to identify the type of model required. One of these is the classification model. Which of these statements define a classification model?
Answer: A
Explanation:
A classification model classifies the incoming data into one or more discrete classes.
NEW QUESTION # 41
Which of the followings are core components of Anthos?
Answer: B
Explanation:
Explanation
Table Description automatically generated
NEW QUESTION # 42
An IoT platform is providing services to home security systems. They have more than a million customers, each with many home devices. Burglaries or child safety issues are concerns that the clients customers. Therefore, the platform has to respond very quickly in near real time. What could be a typical data pipeline used to support this platform on Google Cloud?
Answer: C
Explanation:
=> Cloud Pub/Sub- Cloud Pub/Sub is the best to be the end-point for ingesting large amounts of data. It will grow as required, can stream data to downstream systems, and can also work with intermittently available backends.
=> Cloud Dataflow- supports streaming data and therefore is an appropriate option for processing the data that is ingested.
=> BigQuery- BigQuery also supports streaming data and its possible to do real time ana-lytics on it.
=> DataStudio- DataStudio and Looker are for visualization. They don't have any in-built analysis.
=> Cloud Functions- Cloud Functions is a useful serverless endpoint. However, Pub/Sub is better in this case because it can also retain messages for a set period if it was not possi-ble to deliver it first time.
=>Cloud Dataproc- Cloud Dataproc is used for Hadoop/Spark workloads and won't be a good fit here.
NEW QUESTION # 43
Your organization is releasing its first publicly available application in Google Cloud. The application is critical to your business and customers and requires a 2-hour SLA.
How should your organization set up support to minimize costs?
Answer: B
Explanation:
Reference:
SecureAuth is dedicated to providing the industry-leading enhanced support ensuring the long term success of your SecureAuth SaaS IAM deployment
NEW QUESTION # 44
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