がむしゃらに試験に関連する知識を勉強しているのですか。それとも、効率が良い試験MLS-C01学習資料参考書を使っているのですか。Amazonの認証資格は最近ますます人気になっていますね。 IT業種を選んだ私は自分の実力を証明したのです。しかし、神様はずっと私を向上させることを要求します。 なぜなら、それはAmazonのMLS-C01学習資料認定試験に関する必要なものを含まれるからです。
AWS Certified Specialty MLS-C01 IT領域でも同じです。
AWS Certified Specialty MLS-C01学習資料 - AWS Certified Machine Learning - Specialty 我々の承諾だけでなく、お客様に最も全面的で最高のサービスを提供します。 OmgzlookのAmazonのMLS-C01 最速合格問題集を購入したら、私たちは君のために、一年間無料で更新サービスを提供することができます。もし不合格になったら、私たちは全額返金することを保証します。
自分の能力を証明するために、MLS-C01学習資料試験に合格するのは不可欠なことです。弊社のMLS-C01学習資料真題を入手して、試験に合格する可能性が大きくなります。社会と経済の発展につれて、多くの人はIT技術を勉強します。
簡単にAmazonのAmazon MLS-C01学習資料認定試験に合格したいか。
我々Omgzlookは一番行き届いたアフタサービスを提供します。Amazon MLS-C01学習資料試験問題集を購買してから、一年間の無料更新を楽しみにしています。あなたにAmazon MLS-C01学習資料試験に関する最新かつ最完備の資料を勉強させ、試験に合格させることだと信じます。もしあなたはMLS-C01学習資料試験に合格しなかったら、全額返金のことを承諾します。
Omgzlookの AmazonのMLS-C01学習資料試験トレーニング資料は高度に認証されたIT領域の専門家の経験と創造を含めているものです。そのけん異性は言うまでもありません。
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 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
QUESTION NO: 3
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: 4
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: 5
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
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Updated: May 28, 2022