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NEW QUESTION 52
You have some data, which is shown in the graphic below. The two dimensions are X and Y, and the shade of each dot represents what class it is. You want to classify this data accurately using a linear algorithm.

To do this you need to add a synthetic feature. What should the value of that feature be?

• A. X^2
• B. cos(X)
• C. X^2+Y^2
• D. Y^2

Answer: B

NEW QUESTION 53
Your company is running their first dynamic campaign, serving different offers by analyzing real-time data during the holiday season. The data scientists are collecting terabytes of data that rapidly grows every hour during their 30-day campaign. They are using Google Cloud Dataflow to preprocess the data and collect the feature (signals) data that is needed for the machine learning model in Google Cloud Bigtable.
The team is observing suboptimal performance with reads and writes of their initial load of 10 TB of data.
They want to improve this performance while minimizing cost. What should they do?

• A. Redesign the schema to use row keys based on numeric IDs that increase sequentially per user viewing the offers.
• B. The performance issue should be resolved over time as the site of the BigDate cluster is increased.
• C. Redesign the schema to use a single row key to identify values that need to be updated frequently in the cluster.
• D. Redefine the schema by evenly distributing reads and writes across the row space of the table.

Answer: D

NEW QUESTION 54
Your company's on-premises Apache Hadoop servers are approaching end-of-life, and IT has decided to migrate the cluster to Google Cloud Dataproc. A like-for-like migration of the cluster would require 50 TB of Google Persistent Disk per node. The CIO is concerned about the cost of using that much block storage. You want to minimize the storage cost of the migration. What should you do?

• A. Tune the Cloud Dataproc cluster so that there is just enough disk for all data.
• B. Migrate some of the cold data into Google Cloud Storage, and keep only the hot data in Persistent Disk.
• C. Use preemptible virtual machines (VMs) for the Cloud Dataproc cluster.
• D. Put the data into Google Cloud Storage.

Answer: C

Explanation:
References:

NEW QUESTION 55
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