You need to upgrade the EHR connection to comply with their requirements. The new connection design must support business-critical needs and meet the same network and security policy requirements. What should you do?

• A.Add three new Cloud VPN connections.
• B.Add a new Carrier Peering connection.
• C.Upgrade the bandwidth on the Dedicated Interconnect connection to 100 G.
• D.Add a new Dedicated Interconnect connection.

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For this question, refer to the Mountkirk Games case study.
Mountkirk Games has deployed their new backend on Google Cloud Platform (GCP). You want to create a thorough testing process for new versions of the backend before they are released to the public. You want the testing environment to scale in an economical way. How should you design the process?

• A.Create a scalable environment in GCP for simulating production load.
• B.Use the existing infrastructure to test the GCP-based backend at scale.
• C.Build stress tests into each component of your application using resources internal to GCP to simulate load.
• D.Create a set of static environments in GCP to test different levels of load - for example, high, medium, and low.

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You have a Python web application with many dependencies that requires 0.1 CPU cores and 128 MB of memory to operate in production. You want to monitor and maximize machine utilization. You also to reliably deploy new versions of the application. Which set of steps should you take?

• A.Perform the following:
  1) Create a managed instance group with f1-micro type machines.
  2) Use a startup script to clone the repository, check out the production branch, install the dependencies, and start the Python app.
  3) Restart the instances to automatically deploy new production releases.
• B.Perform the following:
  1) Create a managed instance group with n1-standard-1 type machines.
  2) Build a Compute Engine image from the production branch that contains all of the dependencies and automatically starts the Python app.
  3) Rebuild the Compute Engine image, and update the instance template to deploy new production releases.
• C.Perform the following:
  1) Create a Kubernetes Engine cluster with n1-standard-1 type machines.
  2) Build a Docker image from the production branch with all of the dependencies, and tag it with the version number.
  3) Create a Kubernetes Deployment with the imagePullPolicy set to "IfNotPresent" in the staging namespace, and then promote it to the production namespace after testing.
• D.Perform the following:
  1) Create a Kubernetes Engine (GKE) cluster with n1-standard-4 type machines.
  2) Build a Docker image from the master branch will all of the dependencies, and tag it with "latest".
  3) Create a Kubernetes Deployment in the default namespace with the imagePullPolicy set to "Always".Restart the pods to automatically deploy new production releases.

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The database administration team has asked you to help them improve the performance of their new database server running on Google Compute Engine. The database is for importing and normalizing their performance statistics and is built with MySQL running on Debian Linux. They have an n1-standard-8 virtual machine with
80 GB of SSD persistent disk. What should they change to get better performance from this system?

• A.Create a new virtual machine running PostgreSQL.
• B.Increase the virtual machine's memory to 64 GB.
• C.Dynamically resize the SSD persistent disk to 500 GB.
• D.Modify all of their batch jobs to use bulk inserts into the database.
• E.Migrate their performance metrics warehouse to BigQuery.

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You are designing the storage architecture for a financial analytics platform. The platform ingests and stores terabytes of transactional data daily, which is used for both real-time fraud detection and long-term historical analysis. Transaction data from the last 30 days must be accessible with very low latency for the fraud detection engine. Data older than 30 days is accessed infrequently for quarterly reports, where retrieval times of a few seconds are acceptable. All data must be retained for five years to meet compliance regulations. You need to design a solution as cost-effective as possible. What should you do?

• A.Store all transaction data in a Cloud Storage bucket using the Standard storage class for the entire five- year retention period.
• B.Ingest all data into BigQuery using time-partitioned tables, and rely on BigQuery ' s automatic long- term storage pricing for data older than 90 days.
• C.Configure a Cloud Storage bucket with an Object Lifecycle Management policy to transition data from the Standard class to the Archive class after 30 days.
• D.Configure a Cloud Storage bucket with an Object Lifecycle Management policy to transition data from the Standard class to the Coldline class after 30 days.

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