The safer , easier way to help you pass any IT exams.1/ 71.Your company built a TensorFlow neutral-network model with a large number of neurons and layers. The model fits well for the training data. However, when tested against new data, it performs poorly. What method can you employ to address this? A. Threading B. Serialization C. Dropout Methods D. Dimensionality Reduction Answer:C 2.You are building a model to make clothing recommendations. You know a user’s fashion preference is likely to change over time, so you build a data pipeline to stream new data back to the model as it becomes available. How should you use this data to train the model? 3.You designed a database for patient records as a pilot project to cover a few hundred patients in three clinics. Your design used a single database table to represent all patients and their visits, and you used self-joins to generate reports. The server resource utilization was at 50%. Since then, the scope of the project has expanded. The database must now store 100 times more patient records. You can no longer run the reports, because they either take too long or they encounter errors with insufficient compute resources. How should you adjust the database design? A. Add capacity (memory and disk space) to the database server by the order of 200. B. Shard the tables into smaller ones based on date ranges, and only generate reports with prespecified date ranges. C. Normalize the master patient-record table into the patient table and the visits table, and create other necessary tables to avoid self-join. D. Partition the table into smaller tables, with one for each clinic. Run queries against the smaller table pairs, and use unions for consolidated reports. Answer:B 4.You create an important report for your large team in Google Data Studio 360. The report uses Google BigQuery as its data source. You notice that visualizations are not showing data that is less than 1 hour old. What should you do?