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NEW QUESTION 42
A large company has developed a BI application that generates reports and dashboards using data collected from various operational metrics. The company wants to provide executives with an enhanced experience so they can use natural language to get data from the reports. The company wants the executives to be able ask questions using written and spoken interfaces.
Which combination of services can be used to build this conversational interface? (Choose three.)
- A. Amazon Transcribe
- B. Amazon Comprehend
- C. Alexa for Business
- D. Amazon Connect
- E. Amazon Lex
- F. Amazon Polly
NEW QUESTION 43
You are profiling the performance of your TensorFlow model training time and notice a performance issue caused by inefficiencies in the input data pipeline for a single 5 terabyte CSV file dataset on Cloud Storage. You need to optimize the input pipeline performance. Which action should you try first to increase the efficiency of your pipeline?
- A. Preprocess the input CSV file into a TFRecord file.
- B. Set the reshuffle_each_iteration parameter to true in the tf.data.Dataset.shuffle method.
- C. Randomly select a 10 gigabyte subset of the data to train your model.
- D. Split into multiple CSV files and use a parallel interleave transformation.
NEW QUESTION 44
You are building a TensorFlow model for a financial institution that predicts the impact of consumer spending on inflation globally. Due to the size and nature of the data, your model is long-running across all types of hardware, and you have built frequent checkpointing into the training process. Your organization has asked you to minimize cost. What hardware should you choose?
- A. A Vertex AI Workbench user-managed notebooks instance running on an n1-standard-16 with an NVIDIA P100 GPU
- B. A Vertex AI Workbench user-managed notebooks instance running on an n1-standard-16 with a preemptible v3-8 TPU
- C. A Vertex AI Workbench user-managed notebooks instance running on an n1-standard-16 with a non-preemptible v3-8 TPU
- D. A Vertex AI Workbench user-managed notebooks instance running on an n1-standard-16 with 4 NVIDIA P100 GPUs
NEW QUESTION 45
You manage a team of data scientists who use a cloud-based backend system to submit training jobs. This system has become very difficult to administer, and you want to use a managed service instead. The data scientists you work with use many different frameworks, including Keras, PyTorch, theano, scikit-learn, and custom libraries. What should you do?
- A. Use the Vertex AI Training to submit training jobs using any framework.
- B. Configure Kubeflow to run on Google Kubernetes Engine and submit training jobs through TFJob.
- C. Set up Slurm workload manager to receive jobs that can be scheduled to run on your cloud infrastructure.
- D. Create a library of VM images on Compute Engine, and publish these images on a centralized repository.
NEW QUESTION 46
You are an ML engineer at a regulated insurance company. You are asked to develop an insurance approval model that accepts or rejects insurance applications from potential customers. What factors should you consider before building the model?
- A. Traceability, reproducibility, and explainability
- B. Differential privacy federated learning, and explainability
- C. Federated learning, reproducibility, and explainability
- D. Redaction, reproducibility, and explainability
NEW QUESTION 47
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