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NEW QUESTION: 1
Which of the following antidiabetic medication works by inhibiting carbohydrate breakdown?
A. Dapagliflozin
B. Sitagliptin
C. Metformin
D. Acarbose
E. Pioglitazone
Answer: D
Explanation:
Explanation
Acarbose is an alpha glucosidase inhibitor that inhibits carbohydrate breakdown. Metformin is a biguanide that decreases hepatic glucose production. Dapagliflozin is a SGLT2 inhibitor to decrease glucose reabsorption in the kidney. Pioglitazone is a TZD that increases insulin sensitivity. Sitagliptin is a DPP-4 inhibitor that works on incretins/increase insulin secretion/decrease glucagon secretion.

NEW QUESTION: 2
Using the Linear node, what are the advantages of creating a standard model without boosting or bagging? (Choose two.)
A. Higher accuracy
B. Easter to score
C. None of the above
D. Easier interpretation
Answer: B,D

NEW QUESTION: 3
You work for an advertising company, and you've developed a Spark ML model to predict click-through rates at advertisement blocks. You've been developing everything at your on-premises data center, and now your company is migrating to Google Cloud. Your data center will be closing soon, so a rapid lift-and-shift migration is necessary. However, the data you've been using will be migrated to migrated to BigQuery. You periodically retrain your Spark ML models, so you need to migrate existing training pipelines to Google Cloud. What should you do?
A. Spin up a Spark cluster on Compute Engine, and train Spark ML models on the data exported from BigQuery
B. Rewrite your models on TensorFlow, and start using Cloud ML Engine
C. Use Cloud Dataproc for training existing Spark ML models, but start reading data directly from BigQuery
D. Use Cloud ML Engine for training existing Spark ML models
Answer: D