It is a long established fact that a reader.
It is a long established fact that a reader.
It is a long established fact that a reader.
It is a long established fact that a reader.
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Candidates who successfully pass the Google Professional-Cloud-Architect certification exam can showcase their expertise in GCP and demonstrate their ability to design and implement cloud-based solutions using GCP. This credential can help IT professionals stand out in the job market, increase their earning potential, and open up new career opportunities. Additionally, Google offers a range of other certification programs, including the Associate Cloud Engineer, Professional Data Engineer, and Professional Cloud Developer, among others, which can further enhance an individual's cloud computing skills and marketability.
Building a career in the field of IT requires some level of commitment. One of the areas where this commitment is required is obtaining the certifications. With an IT certificate, you can increase your access to numerous career opportunities and earn attractive remuneration. For the holders of the Google Professional Cloud Architect certification, there are many job roles that they can take up. Some of them include a Google Cloud Architect, a Technical Cloud Architect, a Google Cloud Platform Delivery Architect, a Google Cloud Data Architect, and an Enterprise Architect. These positions come with attractive salaries averaging $120,000 per annum. The specialists with some years of experience can get as much as $180,000.
To become a Google Certified Professional - Cloud Architect (GCP), a candidate must pass the Professional-Cloud-Architect Certification Exam. Professional-Cloud-Architect exam consists of multiple-choice and scenario-based questions that test the candidate's ability to design, manage, and secure cloud solutions on GCP. Professional-Cloud-Architect exam is proctored and can be taken online or at a testing center.
NEW QUESTION # 278
You are creating an App Engine application that uses Cloud Datastore as its persistence layer. You need to retrieve several root entities for which you have the identifiers. You want to minimize the overhead in operations performed by Cloud Datastore. What should you do?
Answer: A
Explanation:
Explanation
https://cloud.google.com/datastore/docs/concepts/entities#datastore-datastore-batch-upsert-nodejs
NEW QUESTION # 279
Your organization requires that metrics from all applications be retained for 5 years for future analysis in possible legal proceedings.
Which approach should you use?
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Stackdriver Logging provides you with the ability to filter, search, and view logs from your cloud and open source application services. Allows you to define metrics based on log contents that are incorporated into dashboards and alerts. Enables you to export logs to BigQuery, Google Cloud Storage, and Pub/Sub.
References: https://cloud.google.com/stackdriver/
NEW QUESTION # 280
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to set up a real-time analytics platform for their new game. The new platform must meet their technical requirements. Which combination of Google technologies will meet all of their requirements?
Answer: B
Explanation:
Ingest millions of streaming events per second from anywhere in the world with Cloud Pub/Sub, powered by Google's unique, high-speed private network. Process the streams with Cloud Dataflow to ensure reliable, exactly-once, low-latency data transformation. Stream the transformed data into BigQuery, the cloud-native data warehousing service, for immediate analysis via SQL or popular visualization tools.
From scenario: They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics.
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity
2. Process incoming data on the fly directly from the game servers
3. Process data that arrives late because of slow mobile networks
4. Allow SQL queries to access at least 10 TB of historical data
5. Process files that are regularly uploaded by users' mobile devices
6. Use only fully managed services
References: https://cloud.google.com/solutions/big-data/stream-analytics/
NEW QUESTION # 281
For this question, refer to the TerramEarth case study.
TerramEarth plans to connect all 20 million vehicles in the field to the cloud. This increases the volume to 20 million 600 byte records a second for 40 TB an hour. How should you design the data ingestion?
Answer: C
Explanation:
Explanation
Streamed data is available for real-time analysis within a few seconds of the first streaming insertion into a table.
Instead of using a job to load data into BigQuery, you can choose to stream your data into BigQuery one record at a time by using the tabledata().insertAll() method. This approach enables querying data without the delay of running a load job.
References: https://cloud.google.com/bigquery/streaming-data-into-bigquery
NEW QUESTION # 282
A lead engineer wrote a custom tool that deploys virtual machines in the legacy data center. He wants to migrate the custom tool to the new cloud environment You want to advocate for the adoption of Google Cloud Deployment Manager What are two business risks of migrating to Cloud Deployment Manager? Choose 2 answers
Answer: B,C
NEW QUESTION # 283
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