MCQ Flashcards

You are creating an intricate architecture that links numerous services to a main database. How should the credentials be safely stored?

Answer: Leverage a secret management system

Explanation: 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!

To replatform is to

Answer: Optimizing and optimizing your applications and workloads while running them on GCP cloud-native platforms without having to completely rewrite them

Explanation: 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.

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?

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: 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.

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?

Answer: Execute queries against data indexed by vehicle_id.timestamp in Cloud Bigtable.

Explanation: 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.

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?

Answer: Treat every microservice call between modules on the vehicle as untrusted.

Explanation: Making the system less vulnerable to hacking, particularly man-in-the-middle assaults across modules increase system security.

Which of TerramEarth's legacy business processes will alter significantly as a result of more people using the Google Cloud Platform?

Answer: Capacity planning, TCO calculations, OpEx/CapEx allocation

Explanation: 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.

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?

Answer: 80% more fleet cellular connectivity, a move from FTP to streaming transport, and the development of metrics machine learning analysis.

Explanation: 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.