MLS-C01 認定試験 & Amazon AWS Certified Machine Learning Specialty 試験対策書 - Omgzlook

人生にはあまりにも多くの変化および未知の誘惑がありますから、まだ若いときに自分自身のために強固な基盤を築くべきです。あなた準備しましたか。OmgzlookのAmazonのMLS-C01認定試験試験トレーニング資料は最高のトレーニング資料です。 受験生のあなたを助けて時間とお金を節約したり、MLS-C01認定試験試験に速く合格すると保証します。今の社会では、高い効率の仕方を慣れんでいます。 Omgzlookはあなたが試験に合格するのを助けることができるだけでなく、あなたは最新の知識を学ぶのを助けることもできます。

AWS Certified Specialty MLS-C01 ローマは一日に建てられませんでした。

AWS Certified Specialty MLS-C01認定試験 - AWS Certified Machine Learning - Specialty なぜ受験生のほとんどはOmgzlookを選んだのですか。 だから、MLS-C01 前提条件試験参考書に関連して、何か質問がありましたら、遠慮無く私たちとご連絡致します。私たちのサービスは24時間で、短い時間で回答できます。

OmgzlookのAmazonのMLS-C01認定試験問題集を購入するなら、君がAmazonのMLS-C01認定試験認定試験に合格する率は100パーセントです。あなたはOmgzlookの学習教材を購入した後、私たちは一年間で無料更新サービスを提供することができます。AmazonのMLS-C01認定試験認定試験に合格することはきっと君の職業生涯の輝い将来に大変役に立ちます。

Amazon MLS-C01認定試験 - 常々、時間とお金ばかり効果がないです。

MLS-C01認定試験「AWS Certified Machine Learning - Specialty」はAmazonの一つ認証試験として、もしAmazon認証試験に合格してIT業界にとても人気があってので、ますます多くの人がMLS-C01認定試験試験に申し込んで、MLS-C01認定試験試験は簡単ではなくて、時間とエネルギーがかかって用意しなければなりません。

Omgzlookは多くの受験生を助けて彼らにAmazonのMLS-C01認定試験試験に合格させることができるのは我々専門的なチームがAmazonのMLS-C01認定試験試験を研究して解答を詳しく分析しますから。試験が更新されているうちに、我々はAmazonのMLS-C01認定試験試験の資料を更新し続けています。

MLS-C01 PDF DEMO:

QUESTION NO: 1
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: 2
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: 3
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: 4
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: 5
A Marketing Manager at a pet insurance company plans to launch a targeted marketing campaign on social media to acquire new customers Currently, the company has the following data in
Amazon Aurora
* Profiles for all past and existing customers
* Profiles for all past and existing insured pets
* Policy-level information
* Premiums received
* Claims paid
What steps should be taken to implement a machine learning model to identify potential new customers on social media?
A. Use a decision tree classifier engine on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media
B. Use a recommendation engine on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media
C. Use regression on customer profile data to understand key characteristics of consumer segments
Find similar profiles on social media.
D. Use clustering on customer profile data to understand key characteristics of consumer segments
Find similar profiles on social media.
Answer: B

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Updated: May 28, 2022