Free Google Cloud Certified - Professional Cloud Architect MCQ Questions and Answers — Questions and Answers
Question 1: You are creating an intricate architecture that links numerous services to a main database. How should the credentials be safely stored?
- Leverage a secret management system (Correct answer)
- Store the keys in the source code
- Memorize them
- Store them in a configuration file
Correct answer: Leverage a secret management system
Explanation: <br> If you need to manage and save your secret keys, use a secrets manager. Hackers search GitHub for inexperienced users who don't secure their secrets, and all too frequently, developers take quick cuts and store their secrets in code, forgetting to remove them when they move to production. One of the main assault vectors in the present day is this one!
Question 2: To replatform is to
- Without changing the code, you may move and improve your current workloads and apps to run on newer form factors.
- Completely redesigning your entire application from scratch on GCP
- Without altering the platform or the apps, lifting and moving your current applications into GCP
- Optimizing and optimizing your applications and workloads while running them on GCP cloud-native platforms without having to completely rewrite them (Correct answer)
Correct answer: Optimizing and optimizing your applications and workloads while running them on GCP cloud-native platforms without having to completely rewrite them
Explanation: <br> Replatforming is the process of moving your programs from one platform to another, then optimizing them without having to completely rewrite them. If you already have a large number of VMware virtual machines on your local network, you may simply run them on GCE to take advantage of the platform's advantages.
Question 3: You have chosen to create a system that catches and saves all raw data because you are unsure of every potential purpose for the data TerramEarth will gather in the future. What is the most economical way to achieve this objective?
- Have the field vehicles send the data to Cloud Pub/Sub and dump it into a Cloud Dataproc cluster, which saves the information in HDFS on persistent drives using Apache Hadoop Distributed File System (HDFS).
- Have the vehicles in the field stream the data directly into BigQuery.
- Allow the field vehicles to continue FTP data dumps, and configure the Linux machines to use gsutil to promptly transfer the data to Cloud Storage. (Correct answer)
- Allow the field vehicles to continue dumping data over FTP, make necessary adjustments to the Linux workstations, and then utilize a collector to transfer the data to Cloud Dataproc HDFS for storage.
Correct answer: Allow the field vehicles to continue FTP data dumps, and configure the Linux machines to use gsutil to promptly transfer the data to Cloud Storage.
Explanation: <br> To consume 9 TB per day, multiple load-balanced Compute Engine VMs would be sufficient, and Google Cloud Storage is the least expensive per-byte storage option. Depending on the format, the data may be immediately accessible via BigQuery or shortly after completing an ETL procedure. Thus, while maximizing cost, this approach satisfies both business and technological criteria.
Question 4: By connecting their maintenance tablets to the vehicle, TerramEarth maintenance staff members can now view interactive performance graphs for the previous 24 hours (86,400 occurrences). To assist in problem-solving, the support group wants support personnel to remotely see this data. The graph loads' latency should be as low as possible. How should you go about offering this feature?
- Execute queries against data indexed by vehicle_id.timestamp in Cloud Bigtable. (Correct answer)
- Execute queries against data stored on daily partitioned BigQuery tables.
- Execute queries against BigQuery with data stored in Cloud Storage via BigQuery federation.
- Execute queries against data stored in a Cloud SQL.
Correct answer: Execute queries against data indexed by vehicle_id.timestamp in Cloud Bigtable.
Explanation: <br> Time-series data is best suited for Cloud Bigtable. It is low-latency, highly available, and economical. It is scalable. The fact that it is a managed service that doesn't need a lot of maintenance work is the best part.
Question 5: Fully autonomous cars are being tested by your farm division. You want your architectural design to support robust security while operating a vehicle. Which two aspects of architecture should you take into account?
- Require IPv6 for connectivity to ensure a secure address space.
- Enclose the vehicle’s drive electronics in a Faraday cage to isolate chips.
- Use a functional programming language to isolate code execution cycles.
- Treat every microservice call between modules on the vehicle as untrusted. (Correct answer)
Correct answer: Treat every microservice call between modules on the vehicle as untrusted.
Explanation: <br> Making the system less vulnerable to hacking, particularly man-in-the-middle assaults across modules increase system security.
Question 6: Which of TerramEarth's legacy business processes will alter significantly as a result of more people using the Google Cloud Platform?
- Capacity planning, TCO calculations, OpEx/CapEx allocation (Correct answer)
- Data center expansion,TCO calculations, utilization measurement
- OpEx/CapEx allocation, LAN change management, capacity planning
- Capacity planning, utilization measurement, data center expansion
Correct answer: Capacity planning, TCO calculations, OpEx/CapEx allocation
Explanation: <br> Moving to the cloud involves a lot of these tasks. Planning for capacity in the cloud differs from planning for capacity in on-premises data centers; TCO calculations are modified because TerramEarth uses services rather than renting or purchasing servers; and OpEx/CapEx allocation is modified as services are consumed rather than by using capital expenditures.
Question 7: You examined TerramEarth's need for downtime reduction and discovered that they can save the majority of the time by cutting down on client wait times for parts. You made the decision to concentrate on cutting the total reporting time for the three weeks. Which process changes for the company should you suggest?
- Convert from FTP to SFTP transport, create metrics analysis using machine learning, and boost dealer local inventory by a fixed percentage.
- Convert measurements to machine learning for analysis, switch from FTP to SFTP transport, and migrate from CSV to binary format.
- Convert CSV to binary format, move from FTP to streaming transport, and create metrics machine learning analysis.
- 80% more fleet cellular connectivity, a move from FTP to streaming transport, and the development of metrics machine learning analysis. (Correct answer)
Correct answer: 80% more fleet cellular connectivity, a move from FTP to streaming transport, and the development of metrics machine learning analysis.
Explanation: <br> Since the data is now only collected when the machines are down for maintenance, having cellular connectivity will significantly increase how recent the data is when it is utilized for analysis. Using streaming transport as opposed to recurrent FTP will further tighten the feedback loop. Workloads requiring predictive maintenance are perfect for machine learning.
Free Google Cloud Certified - Professional Cloud Architect MCQ Questions and Answers
You are creating an intricate architecture that links numerous services to a main database.
How should the credentials be safely stored?