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AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty 成功を祈ります。
AWS Certified Machine Learning AWS-Certified-Machine-Learning-Specialty資格講座 - AWS Certified Machine Learning - Specialty 試験問題と解答に関する質問があるなら、当社は直後に解決方法を差し上げます。 AmazonのAWS-Certified-Machine-Learning-Specialty 問題集無料認定試験「AWS Certified Machine Learning - Specialty」によい準備ができて、試験に穏やかな心情をもって扱うことができます。Omgzlookの専門家が研究された問題集を利用してください。
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Amazon AWS-Certified-Machine-Learning-Specialty資格講座 - 私の夢は最高のIT専門家になることです。
IT業種のAmazonのAWS-Certified-Machine-Learning-Specialty資格講座認定試験に合格したいのなら、Omgzlook AmazonのAWS-Certified-Machine-Learning-Specialty資格講座試験トレーニング問題集を選ぶのは必要なことです。AmazonのAWS-Certified-Machine-Learning-Specialty資格講座認定試験に受かったら、あなたの仕事はより良い保証を得て、将来のキャリアで、少なくともIT領域であなたの技能と知識は国際的に認知され、受け入れられるです。これも多くの人々がAmazonのAWS-Certified-Machine-Learning-Specialty資格講座認定試験を選ぶ理由の一つです。その理由でこの試験はますます重視されるになります。Omgzlook AmazonのAWS-Certified-Machine-Learning-Specialty資格講座試験トレーニング資料はあなたが上記の念願を実現することを助けられるのです。Omgzlook AmazonのAWS-Certified-Machine-Learning-Specialty資格講座試験トレーニング資料は豊富な経験を持っているIT専門家が研究したもので、問題と解答が緊密に結んでいますから、比べるものがないです。高い価格のトレーニング授業を受けることはなくて、Omgzlook AmazonのAWS-Certified-Machine-Learning-Specialty資格講座試験トレーニング資料をショッピングカートに入れる限り、我々はあなたが気楽に試験に合格することを助けられます。
IT業種で仕事しているあなたは、夢を達成するためにどんな方法を利用するつもりですか。実際には、IT認定試験を受験して認証資格を取るのは一つの良い方法です。
AWS-Certified-Machine-Learning-Specialty PDF DEMO:
QUESTION NO: 1
A Machine Learning Specialist built an image classification deep learning model. However the
Specialist ran into an overfitting problem in which the training and testing accuracies were 99% and
75%r respectively.
How should the Specialist address this issue and what is the reason behind it?
A. The learning rate should be increased because the optimization process was trapped at a local minimum.
B. The dimensionality of dense layer next to the flatten layer should be increased because the model is not complex enough.
C. The epoch number should be increased because the optimization process was terminated before it reached the global minimum.
D. The dropout rate at the flatten layer should be increased because the model is not generalized enough.
Answer: C
QUESTION NO: 2
A Machine Learning Specialist working for an online fashion company wants to build a data ingestion solution for the company's Amazon S3-based data lake.
The Specialist wants to create a set of ingestion mechanisms that will enable future capabilities comprised of:
* Real-time analytics
* Interactive analytics of historical data
* Clickstream analytics
* Product recommendations
Which services should the Specialist use?
A. Amazon Athena as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data
Analytics for historical data insights; Amazon DynamoDB streams for clickstream analytics; AWS Glue to generate personalized product recommendations
B. AWS Glue as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for historical data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream analytics; Amazon EMR to generate personalized product recommendations
C. AWS Glue as the data dialog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for real-time data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream analytics; Amazon EMR to generate personalized product recommendations
D. Amazon Athena as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data
Analytics for near-realtime data insights; Amazon Kinesis Data Firehose for clickstream analytics; AWS
Glue to generate personalized product recommendations
Answer: C
QUESTION NO: 3
A Machine Learning Specialist has created a deep learning neural network model that performs well on the training data but performs poorly on the test data.
Which of the following methods should the Specialist consider using to correct this? (Select THREE.)
A. Decrease dropout.
B. Increase regularization.
C. Increase feature combinations.
D. Decrease feature combinations.
E. Decrease regularization.
F. Increase dropout.
Answer: A,B,C
QUESTION NO: 4
A Machine Learning Specialist is building a logistic regression model that will predict whether or not a person will order a pizza. The Specialist is trying to build the optimal model with an ideal classification threshold.
What model evaluation technique should the Specialist use to understand how different classification thresholds will impact the model's performance?
A. Receiver operating characteristic (ROC) curve
B. Misclassification rate
C. Root Mean Square Error (RM&)
D. L1 norm
Answer: A
QUESTION NO: 5
A Machine Learning Specialist kicks off a hyperparameter tuning job for a tree-based ensemble model using Amazon SageMaker with Area Under the ROC Curve (AUC) as the objective metric This workflow will eventually be deployed in a pipeline that retrains and tunes hyperparameters each night to model click-through on data that goes stale every 24 hours With the goal of decreasing the amount of time it takes to train these models, and ultimately to decrease costs, the Specialist wants to reconfigure the input hyperparameter range(s) Which visualization will accomplish this?
A. A scatter plot with points colored by target variable that uses (-Distributed Stochastic Neighbor
Embedding (I-SNE) to visualize the large number of input variables in an easier-to-read dimension.
B. A scatter plot showing (he performance of the objective metric over each training iteration
C. A histogram showing whether the most important input feature is Gaussian.
D. A scatter plot showing the correlation between maximum tree depth and the objective metric.
Answer: A
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Updated: May 28, 2022