Google Google Certifications PROFESSIONAL-CLOUD-ARCHITECT Questions & Answers

• Question 211:

  For this question, refer to the TerramEarth case study. To be compliant with European GDPR regulation, TerramEarth is required to delete data generated from its European customers after a period of 36 months when it contains personal data. In the new architecture, this data will be stored in both Cloud Storage and BigQuery. What should you do?

  A. Create a BigQuery table for the European data, and set the table retention period to 36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age condition of 36 months.

  B. Create a BigQuery table for the European data, and set the table retention period to 36 months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action when with an Age condition of 36 months.

  C. Create a BigQuery time-partitioned table for the European data, and set the partition expiration period to 36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age condition of 36 months.

  D. Create a BigQuery time-partitioned table for the European data, and set the partition period to 36 months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action with an Age condition of 36 months.

  Correct Answer: C

• Question 212:

  Operational parameters such as oil pressure are adjustable on each of TerramEarth's vehicles to increase their efficiency, depending on their environmental conditions. Your primary goal is to increase the operating efficiency of all 20 million cellular and unconnected vehicles in the field.

  How can you accomplish this goal?

  A. Have you engineers inspect the data for patterns, and then create an algorithm with rules that make operational adjustments automatically

  B. Capture all operating data, train machine learning models that identify ideal operations, and run locally to make operational adjustments automatically

  C. Implement a Google Cloud Dataflow streaming job with a sliding window, and use Google Cloud Messaging (GCM) to make operational adjustments automatically

  D. Capture all operating data, train machine learning models that identify ideal operations, and host in Google Cloud Machine Learning (ML) Platform to make operational adjustments automatically

  Correct Answer: B

  References: https://cloud.google.com/customers/ocado/

• Question 213:

  Your agricultural division is experimenting with fully autonomous vehicles. You want your architecture to promote strong security during vehicle operation. Which two architectures should you consider? (Choose two.)

  A. Treat every micro service call between modules on the vehicle as untrusted.

  B. Require IPv6 for connectivity to ensure a secure address space.

  C. Use a trusted platform module (TPM) and verify firmware and binaries on boot.

  D. Use a functional programming language to isolate code execution cycles.

  E. Use multiple connectivity subsystems for redundancy.

  F. Enclose the vehicle's drive electronics in a Faraday cage to isolate chips.

  Correct Answer: AC

• Question 214:

  TerramEarth has equipped all connected trucks with servers and sensors to collect telemetry data. Next year they want to use the data to train machine learning models. They want to store this data in the cloud while reducing costs. What should they do?

  A. Have the vehicle's computer compress the data in hourly snapshots, and store it in a Google Cloud Storage (GCS) Nearline bucket

  B. Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it in Google BigQuery

  C. Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it in Cloud Bigtable

  D. Have the vehicle's computer compress the data in hourly snapshots, and store it in a GCS Coldline bucket

  Correct Answer: D

  Storage is the best choice for data that you plan to access at most once a year, due to its slightly lower availability, 90-day minimum storage duration, costs for data access, and higher per-operation costs. For example:

  Cold Data Storage - Infrequently accessed data, such as data stored for legal or regulatory reasons, can be stored at low cost as Coldline Storage, and be available when you need it.

  Disaster recovery - In the event of a disaster recovery event, recovery time is key. Cloud Storage provides low latency access to data stored as Coldline Storage.

  References: https://cloud.google.com/storage/docs/storage-classes

• Question 215:

  TerramEarth's 20 million vehicles are scattered around the world. Based on the vehicle's location, its telemetry data is stored in a Google Cloud Storage (GCS) regional bucket (US, Europe, or Asia). The CTO has asked you to run a report on the raw telemetry data to determine why vehicles are breaking down after 100 K miles. You want to run this job on all the data.

  What is the most cost-effective way to run this job?

  A. Move all the data into 1 zone, then launch a Cloud Dataproc cluster to run the job

  B. Move all the data into 1 region, then launch a Google Cloud Dataproc cluster to run the job

  C. Launch a cluster in each region to preprocess and compress the raw data, then move the data into a multi-region bucket and use a Dataproc cluster to finish the job

  D. Launch a cluster in each region to preprocess and compress the raw data, then move the data into a region bucket and use a Cloud Dataproc cluster to finish the job

  Correct Answer: D

  Storageguarantees 2 replicates which are geo diverse (100 miles apart) which can get better remote latency and availability.

  More importantly, is that multiregional heavily leverages Edge caching and CDNs to provide the content to the end users.

  All this redundancy and caching means that Multiregional comes with overhead to sync and ensure consistency between geo-diverse areas. As such, it's much better for write-once-read-many scenarios. This means frequently accessed (e.g.

  "hot" objects) around the world, such as website content, streaming videos, gaming or mobile applications.

  References: https://medium.com/google-cloud/google-cloud-storage-what-bucket-class-for-the-best-performance-5c847ac8f9f2

• Question 216:

  To speed up data retrieval, more vehicles will be upgraded to cellular connections and be able to transmit data to the ETL process. The current FTP process is error-prone and restarts the data transfer from the start of the file when connections fail, which happens often. You want to improve the reliability of the solution and minimize data transfer time on the cellular connections.

  What should you do?

  A. Use one Google Container Engine cluster of FTP servers. Save the data to a Multi-Regional bucket. Run the ETL process using data in the bucket

  B. Use multiple Google Container Engine clusters running FTP servers located in different regions. Save the data to Multi-Regional buckets in US, EU, and Asia. Run the ETL process using the data in the bucket

  C. Directly transfer the files to different Google Cloud Multi-Regional Storage bucket locations in US, EU, and Asia using Google APIs over HTTP(S). Run the ETL process using the data in the bucket

  D. Directly transfer the files to a different Google Cloud Regional Storage bucket location in US, EU, and Asia using Google APIs over HTTP(S). Run the ETL process to retrieve the data from each Regional bucket

  Correct Answer: D

  From scenario: They currently have over 500 dealers and service centers in 100 countries.

  Multi-Regional Storage is appropriate for storing data that is frequently accessed ("hot" objects), such as serving website content, interactive workloads, or data supporting mobile and gaming applications. Multi-Regional Storage data has the most availability compared to other storage classes. Multi-Regional Storage is geo-redundant, which means Cloud Storage stores your data redundantly in at least two geographic places separated by at least 100 miles within the multi-regional location of the bucket. Geo-redundancy occurs

  asynchronously, but Multi-Regional Storage data is redundant within at least one geographic place as soon as you upload it. Like all Cloud Storage data, it is also immediately accessible worldwide. References: https://cloud.google.com/storage/docs/storage-classes#multi-regional

• Question 217:

  Which of TerramEarth's legacy enterprise processes will experience significant change as a result of increased Google Cloud Platform adoption?

  A. Opex/capex allocation, LAN changes, capacity planning

  B. Capacity planning, TCO calculations, opex/capex allocation

  C. Capacity planning, utilization measurement, data center expansion

  D. Data Center expansion, TCO calculations, utilization measurement

  Correct Answer: B

  Capacity planning, TCO calculations, opex/capex allocation From the case study, it can conclude that Management (CXO) all concern rapid provision of resources (infrastructure) for growing as well as cost management, such as Cost optimization in Infrastructure, trade up front capital expenditures (Capex) for ongoing operating expenditures (Opex), and Total cost of ownership (TCO)

• Question 218:

  You analyzed TerramEarth's business requirement to reduce downtime, and found that they can achieve a majority of time saving by reducing customer's wait time for parts. You decided to focus on reduction of the 3 weeks aggregate reporting time.

  Which modifications to the company's processes should you recommend?

  A. Migrate from CSV to binary format, migrate from FTP to SFTP transport, and develop machine learning analysis of metrics

  B. Migrate from FTP to streaming transport, migrate from CSV to binary format, and develop machine learning analysis of metrics

  C. Increase fleet cellular connectivity to 80%, migrate from FTP to streaming transport, and develop machine learning analysis of metrics

  D. Migrate from FTP to SFTP transport, develop machine learning analysis of metrics, and increase dealer local inventory by a fixed factor

  Correct Answer: C

  The Avro binary format is the preferred format for loading compressed data. Avro data is faster to load because the data can be read in parallel, even when the data blocks are compressed.

  Cloud Storage supports streaming transfers with the gsutil tool or boto library, based on HTTP chunked transfer encoding. Streaming data lets you stream data to and from your Cloud Storage account as soon as it becomes available without requiring that the data be first saved to a separate file. Streaming transfers are useful if you have a process that generates data and you do not want to buffer it locally before uploading it, or if you want to send the result from a computational pipeline directly into Cloud Storage.

  References: https://cloud.google.com/storage/docs/streaming https://cloud.google.com/bigquery/docs/loading-data

• Question 219:

  Your development team has created a structured API to retrieve vehicle data. They want to allow third parties to develop tools for dealerships that use this vehicle event data. You want to support delegated authorization against this data.

  What should you do?

  A. Build or leverage an OAuth-compatible access control system

  B. Build SAML 2.0 SSO compatibility into your authentication system

  C. Restrict data access based on the source IP address of the partner systems

  D. Create secondary credentials for each dealer that can be given to the trusted third party

  Correct Answer: A

  Delegate application authorization with OAuth2

  Cloud Platform APIs support OAuth 2.0, and scopes provide granular authorization over the methods that are supported. Cloud Platform supports both service-account and user-account OAuth, also called three-legged OAuth.

  References: https://cloud.google.com/docs/enterprise/best-practices-for-enterprise-organizations#delegate_application_authorization_with_oauth2 https://cloud.google.com/appengine/docs/flexible/go/authorizing-apps

• Question 220:

  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?

  A. Vehicles write data directly to GCS

  B. Vehicles write data directly to Google Cloud Pub/Sub

  C. Vehicles stream data directly to Google BigQuery

  D. Vehicles continue to write data using the existing system (FTP)

  Correct Answer: B

  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