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Free Google Cloud Architect Professional Exam Braindumps (page: 30)

Page 29 of 68
PDF with 278 Questions

Your customer is receiving reports that their recently updated Google App Engine application is taking approximately 30 seconds to load for some of their users. This behavior was not reported before the update.
What strategy should you take?

  1. Work with your ISP to diagnose the problem.
  2. Open a support ticket to ask for network capture and flow data to diagnose the problem, then roll back your application.
  3. Roll back to an earlier known good release initially, then use Stackdriver Trace and logging to diagnose the problem in a development/test/staging environment.
  4. Roll back to an earlier known good release, then push the release again at a quieter period to investigate. Then use Stackdriver Trace and logging to diagnose the problem.

Answer(s): C

Explanation:

Stackdriver Logging allows you to store, search, analyze, monitor, and alert on log data and events from Google Cloud Platform and Amazon Web Services (AWS). Our API also allows ingestion of any custom log data from any source. Stackdriver Logging is a fully managed service that performs at scale and can ingest application and system log data from thousands of VMs. Even better, you can analyze all that log data in real time.


Reference:

https://cloud.google.com/logging/



Your company has successfully migrated to the cloud and wants to analyze their data stream to optimize operations. They do not have any existing code for this analysis, so they are exploring all their options. These options include a mix of batch and stream processing, as they are running some hourly jobs and live-processing some data as it comes in.
Which technology should they use for this?

  1. Google Cloud Dataproc
  2. Google Cloud Dataflow
  3. Google Container Engine with Bigtable
  4. Google Compute Engine with Google BigQuery

Answer(s): B

Explanation:

Dataflow is for processing both the Batch and Stream.

Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or compromises needed.


Reference:

https://cloud.google.com/dataflow/



Your customer is moving an existing corporate application to Google Cloud Platform from an on- premises data center. The business owners require minimal user disruption. There are strict security team requirements for storing passwords.
What authentication strategy should they use?

  1. Use G Suite Password Sync to replicate passwords into Google.
  2. Federate authentication via SAML 2.0 to the existing Identity Provider.
  3. Provision users in Google using the Google Cloud Directory Sync tool.
  4. Ask users to set their Google password to match their corporate password.

Answer(s): B

Explanation:

https://cloud.google.com/solutions/authenticating-corporate-users-in-a-hybrid-environment



Your company wants to track whether someone is present in a meeting room reserved for a scheduled meeting. There are 1000 meeting rooms across 5 offices on 3 continents. Each room is equipped with a motion sensor that reports its status every second. The data from the motion detector includes only a sensor ID and several different discrete items of information. Analysts will use this data, together with information about account owners and office locations.
Which database type should you use?

  1. Flat file
  2. NoSQL
  3. Relational
  4. Blobstore

Answer(s): B

Explanation:

Relational databases were not designed to cope with the scale and agility challenges that face modern applications, nor were they built to take advantage of the commodity storage and processing power available today.
NoSQL fits well for:

Developers are working with applications that create massive volumes of new, rapidly changing data types -- structured, semi-structured, unstructured and polymorphic data.

Incorrect Answers:
D: The Blobstore API allows your application to serve data objects, called blobs, that are much larger than the size allowed for objects in the Datastore service. Blobs are useful for serving large files, such as video or image files, and for allowing users to upload large data files.


Reference:

https://www.mongodb.com/nosql-explained






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