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NEW QUESTION 48
If you want to create a machine learning model that predicts the price of a particular stock based on its recent price history, what type of estimator should you use?

A. Clustering estimatorB. RegressorC. ClassifierD. Unsupervised learning

Answer: B

Explanation:
Explanation
Regression is the supervised learning task for modeling and predicting continuous, numeric variables.
Examples include predicting real-estate prices, stock price movements, or student test scores.
Classification is the supervised learning task for modeling and predicting categorical variables. Examples include predicting employee churn, email spam, financial fraud, or student letter grades.
Clustering is an unsupervised learning task for finding natural groupings of observations (i.e. clusters) based on the inherent structure within your dataset. Examples include customer segmentation, grouping similar items in e-commerce, and social network analysis.
Reference: https://elitedatascience.com/machine-learning-algorithms

 

NEW QUESTION 49
You are building new real-time data warehouse for your company and will use Google BigQuery streaming inserts. There is no guarantee that data will only be sent in once but you do have a unique ID for each row of data and an event timestamp. You want to ensure that duplicates are not included while interactively querying dat
a. Which query type should you use?

A. Include ORDER BY DESK on timestamp column and LIMIT to 1.B. Use GROUP BY on the unique ID column and timestamp column and SUM on the values.C. Use the LAG window function with PARTITION by unique ID along with WHERE LAG IS NOT NULL.D. Use the ROW_NUMBER window function with PARTITION by unique ID along with WHERE row equals 1.

Answer: D

Explanation:
https://cloud.google.com/bigquery/docs/reference/standard-sql/analytic-function-concepts

 

NEW QUESTION 50
You are building a new data pipeline to share data between two different types of applications: jobs generators and job runners. Your solution must scale to accommodate increases in usage and must accommodate the addition of new applications without negatively affecting the performance of existing ones. What should you do?

A. Create an API using App Engine to receive and send messages to the applicationsB. Create a table on Cloud SQL, and insert and delete rows with the job informationC. Use a Cloud Pub/Sub topic to publish jobs, and use subscriptions to execute themD. Create a table on Cloud Spanner, and insert and delete rows with the job information

Answer: C

Explanation:
Pubsub is used to transmit data in real time and scale automatically.

 

NEW QUESTION 51
......

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