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NEW QUESTION: 1
NTO need to extract 50 million records from a custom object everyday from its Salesforce org. NTO is facing query timeout issues while extracting these records.
What should a data architect recommend in order to get around the time out issue?
A. Ask SF support to increase the query timeout value.
B. Use ETL tool for extraction of records.
C. Use a custom auto number and formula field and use that to chunk records while extracting data.
D. The REST API to extract data as it automatically chunks records by 200.
Answer: C

NEW QUESTION: 2
Nach welchen SAP-Standardkriterien werden Sachkonten ermittelt? Es gibt 3 richtige Antworten auf diese Frage.
A. Buchungskreis
B. Kontierungsgruppe
C. Verkaufsorganisation
D. Kontenplan
E. Kontierungsgruppe für Material
Answer: C,D,E

NEW QUESTION: 3
A gaming company has launched an online game where people can start playing for free, but they need to pay if they choose to use certain features. The company needs to build an automated system to predict whether or not a new user will become a paid user within 1 year.
The company has gathered a labeled dataset from 1 million users.
The training dataset consists of 1,000 positive samples (from users who ended up paying within 1 year) and 999,000 negative samples (from users who did not use any paid features). Each data sample consists of 200 features including user age, device, location, and play patterns.
Using this dataset for training, the Data Science team trained a random forest model that converged with over 99% accuracy on the training set. However, the prediction results on a test dataset were not satisfactory Which of the following approaches should the Data Science team take to mitigate this issue?
(Choose two.)
A. Include a copy of the samples in the test dataset in the training dataset.
B. Change the cost function so that false negatives have a higher impact on the cost value than false positives.
C. Change the cost function so that false positives have a higher impact on the cost value than false negatives.
D. Generate more positive samples by duplicating the positive samples and adding a small amount of noise to the duplicated data.
E. Add more deep trees to the random forest to enable the model to learn more features.
Answer: A,B