Fix: question90 broken link

Author: danieldanielecki

README.md

@@ -167,7 +167,7 @@ We are so thankful for every contribution, which makes sure we can deliver top-n
 | 87  | [A Machine Learning Specialist is assigned a TensorFlow project using Amazon SageMaker for training, and needs to continue working for an extended period with no Wi-Fi access. Which approach should the Specialist use to continue working?](#a-machine-learning-specialist-is-assigned-a-tensorflow-project-using-amazon-sagemaker-for-training-and-needs-to-continue-working-for-an-extended-period-with-no-wi-fi-access-which-approach-should-the-specialist-use-to-continue-working)
 | 88  | [A Machine Learning Specialist is required to build a supervised image-recognition model to identify a cat. The ML Specialist performs some tests and records the following results for a neural network-based image classifier. Total number of images available = 1,000 Test set images = 100 (constant test set). The ML Specialist notices that, in over 75% of the misclassified images, the cats were held upside down by their owners. Which techniques can be used by the ML Specialist to improve this specific test error?](#a-machine-learning-specialist-is-required-to-build-a-supervised-image-recognition-model-to-identify-a-cat-the-ml-specialist-performs-some-tests-and-records-the-following-results-for-a-neural-network-based-image-classifier-total-number-of-images-available--1000-test-set-images--100-constant-test-set-the-ml-specialist-notices-that-in-over-75-of-the-misclassified-images-the-cats-were-held-upside-down-by-their-owners-which-techniques-can-be-used-by-the-ml-specialist-to-improve-this-specific-test-error)
 | 89  | [A Machine Learning Specialist needs to be able to ingest streaming data and store it in Apache Parquet files for exploration and analysis. Which of the following services would both ingest and store this data in the correct format?](#a-machine-learning-specialist-needs-to-be-able-to-ingest-streaming-data-and-store-it-in-apache-parquet-files-for-exploration-and-analysis-which-of-the-following-services-would-both-ingest-and-store-this-data-in-the-correct-format)
-| 90  | [A Data Scientist is developing a machine learning model to classify whether a financial transaction is fraudulent. The labeled data available for training consists of 100,000 non-fraudulent observations and 1,000 fraudulent observations. The Data Scientist applies the XGBoost algorithm to the data, resulting in the following confusion matrix when the trained model is applied to a previously unseen validation dataset. The accuracy of the model is 99.1%, but the Data Scientist has been asked to reduce the number of false negatives. Which combination of steps should the Data Scientist take to reduce the number of false positive predictions by the model? (Choose two.)](#a-data-scientist-is-developing-a-machine-learning-model-to-classify-whether-a-financial-transaction-is-fraudulent-the-labeled-data-available-for-training-consists-of-100000-non-fraudulent-observations-and-1000-fraudulent-observations-the-data-scientist-applies-the-xgboost-algorithm-to-the-data-resulting-in-the-following-confusion-matrix-when-the-trained-model-is-applied-to-a-previously-unseen-validation-dataset-the-accuracy-of-the-model-is-991%25-but-the-data-scientist-has-been-asked-to-reduce-the-number-of-false-negatives-which-combination-of-steps-should-the-data-scientist-take-to-reduce-the-number-of-false-positive-predictions-by-the-model-choose-two)
+| 90  | [A Data Scientist is developing a machine learning model to classify whether a financial transaction is fraudulent. The labeled data available for training consists of 100,000 non-fraudulent observations and 1,000 fraudulent observations. The Data Scientist applies the XGBoost algorithm to the data, resulting in the following confusion matrix when the trained model is applied to a previously unseen validation dataset. The accuracy of the model is 99.1%, but the Data Scientist has been asked to reduce the number of false negatives. Which combination of steps should the Data Scientist take to reduce the number of false positive predictions by the model? (Choose two.)](#a-data-scientist-is-developing-a-machine-learning-model-to-classify-whether-a-financial-transaction-is-fraudulent-the-labeled-data-available-for-training-consists-of-100000-non-fraudulent-observations-and-1000-fraudulent-observations-the-data-scientist-applies-the-xgboost-algorithm-to-the-data-resulting-in-the-following-confusion-matrix-when-the-trained-model-is-applied-to-a-previously-unseen-validation-dataset-the-accuracy-of-the-model-is-991-but-the-data-scientist-has-been-asked-to-reduce-the-number-of-false-negatives-which-combination-of-steps-should-the-data-scientist-take-to-reduce-the-number-of-false-positive-predictions-by-the-model-choose-two)
 | 91  | [A company is running a machine learning prediction service that generates 100 TB of predictions every day. A Machine Learning Specialist must generate a visualization of the daily precision-recall curve from the predictions, and forward a read-only version to the Business team. Which solution requires the LEAST coding effort?](#a-company-is-running-a-machine-learning-prediction-service-that-generates-100-tb-of-predictions-every-day-a-machine-learning-specialist-must-generate-a-visualization-of-the-daily-precision-recall-curve-from-the-predictions-and-forward-a-read-only-version-to-the-business-team-which-solution-requires-the-least-coding-effort)
 | 92  | [A Machine Learning Specialist is preparing data for training on Amazon SageMaker. The Specialist is using one of the SageMaker built-in algorithms for the training. The dataset is stored in .CSV format and is transformed into a numpy.array, which appears to be negatively affecting the speed of the training. What should the Specialist do to optimize the data for training on SageMaker?](#a-machine-learning-specialist-is-preparing-data-for-training-on-amazon-sagemaker-the-specialist-is-using-one-of-the-sagemaker-built-in-algorithms-for-the-training-the-dataset-is-stored-in-csv-format-and-is-transformed-into-a-numpyarray-which-appears-to-be-negatively-affecting-the-speed-of-the-training-what-should-the-specialist-do-to-optimize-the-data-for-training-on-sagemaker)
 | 93  | [A financial services company is building a robust serverless data lake on Amazon S3. The data lake should be flexible and meet the following requirements. Support querying old and new data on Amazon S3 through Amazon Athena and Amazon Redshift Spectrum. Support event-driven ETL pipelines Provide a quick and easy way to understand metadata Which approach meets these requirements?](#a-financial-services-company-is-building-a-robust-serverless-data-lake-on-amazon-s3-the-data-lake-should-be-flexible-and-meet-the-following-requirements-support-querying-old-and-new-data-on-amazon-s3-through-amazon-athena-and-amazon-redshift-spectrum-support-event-driven-etl-pipelines-provide-a-quick-and-easy-way-to-understand-metadata-which-approach-meets-these-requirements)