Your company wants to try out the cloud with low risk.
They want to archive approximately 100 TB of their log data to the cloud and test the analytics features available to them there, while also retaining that data as a long-term disaster recovery backup.
Which two steps should you take? (Choose two.)
Click on the arrows to vote for the correct answer
A. B. C. D. E.AE.
The two steps that should be taken to archive approximately 100 TB of log data to the cloud with low risk and test the analytics features available to them there, while also retaining that data as a long-term disaster recovery backup are:
E. Upload log files into Google Cloud Storage: Google Cloud Storage is a low-cost and highly durable object storage service provided by Google Cloud Platform. It is ideal for storing and archiving large amounts of unstructured data like log files. You can easily upload log files to Google Cloud Storage using the gsutil command-line tool or the Cloud Storage Transfer Service. Once the log data is uploaded to Google Cloud Storage, it can be accessed and analyzed using various analytics tools such as Google BigQuery, Cloud Dataflow, Cloud Dataproc, etc.
A. Load logs into Google BigQuery: Google BigQuery is a fully-managed, serverless data warehouse that enables you to run fast, SQL-like queries against petabytes of data in seconds. It can be used to analyze and visualize large amounts of log data stored in Google Cloud Storage. You can load log data into BigQuery using the Cloud Storage Transfer Service or the BigQuery web UI. Once the data is loaded, you can use the powerful analytics capabilities of BigQuery to perform complex queries, join datasets, and create custom dashboards and reports.
C. Import logs into Google Stackdriver and D. Insert logs into Google Cloud Bigtable are not the correct steps for this scenario.
Google Stackdriver is a monitoring, logging, and diagnostics service provided by Google Cloud Platform. It is designed to help you monitor your applications and infrastructure running on Google Cloud Platform and other cloud providers. While Stackdriver can be used to analyze log data, it is primarily designed for real-time monitoring and troubleshooting of cloud applications and services.
Google Cloud Bigtable is a NoSQL, wide-column database service provided by Google Cloud Platform. It is optimized for high-performance, low-latency workloads, such as real-time analytics and IoT data processing. However, it may not be the best choice for long-term storage of log data as it is designed for structured data and can be more expensive than other storage options like Cloud Storage.