Fix: question178 correct answer & link

Author: danieldanielecki

README.md

@@ -183,7 +183,7 @@
 | 175 | [You have developed an application that consists of multiple microservices, with each microservice packaged in its own Docker container image. You want to deploy the entire application on Google Kubernetes Engine so that each microservice can be scaled individually. What should you do?](#you-have-developed-an-application-that-consists-of-multiple-microservices-with-each-microservice-packaged-in-its-own-docker-container-image-you-want-to-deploy-the-entire-application-on-google-kubernetes-engine-so-that-each-microservice-can-be-scaled-individually-what-should-you-do) |
 | 176 | [You will have several applications running on different Compute Engine instances in the same project. You want to specify at a more granular level the service account each instance uses when calling Google Cloud APIs. What should you do?](#you-will-have-several-applications-running-on-different-compute-engine-instances-in-the-same-project-you-want-to-specify-at-a-more-granular-level-the-service-account-each-instance-uses-when-calling-google-cloud-apis-what-should-you-do) |
 | 177 | [You are creating an application that will run on Google Kubernetes Engine. You have identified MongoDB as the most suitable database system for your application and want to deploy a managed MongoDB environment that provides a support SLA. What should you do?](#you-are-creating-an-application-that-will-run-on-google-kubernetes-engine-you-have-identified-mongodb-as-the-most-suitable-database-system-for-your-application-and-want-to-deploy-a-managed-mongodb-environment-that-provides-a-support-sla-what-should-you-do) |
-| 178 | [You are managing a project for the Business Intelligence (BI) department in your company. A data pipeline ingests data into BigQuery via streaming. You want the users in the BI department to be able to run the custom SQL queries against the latest data in BigQuery. What should you do?](#question178) |
+| 178 | [You are managing a project for the Business Intelligence (BI) department in your company. A data pipeline ingests data into BigQuery via streaming. You want the users in the BI department to be able to run the custom SQL queries against the latest data in BigQuery. What should you do?](#you-are-managing-a-project-for-the-business-intelligence-bi-department-in-your-company-a-data-pipeline-ingests-data-into-bigquery-via-streaming-you-want-the-users-in-the-bi-department-to-be-able-to-run-the-custom-sql-queries-against-the-latest-data-in-bigquery-what-should-you-do) |
 | 179 | [Your company is moving its entire workload to Compute Engine. Some servers should be accessible through the Internet, and other servers should only be accessible over the internal network. All servers need to be able to talk to each other over specific ports and protocols. The current on-premises network relies on a demilitarized zone (DMZ) for the public servers and a Local Area Network (LAN) for the private servers. You need to design the networking infrastructure on Google Cloud to match these requirements. What should you do?](#question179) |
 | 180 | [You have an application that looks for its licensing server on the IP 10.0.3.21 You need to deploy the licensing server on Compute Engine. You do not want to change the configuration of the application and want the application to be able to reach the licensing server. What should you do?](#you-have-an-application-that-looks-for-its-licensing-server-on-the-ip-100321-you-need-to-deploy-the-licensing-server-on-compute-engine-you-do-not-want-to-change-the-configuration-of-the-application-and-want-the-application-to-be-able-to-reach-the-licensing-server-what-should-you-do)
 
@@ -1802,8 +1802,8 @@
 
 - [ ] Create a Data Studio dashboard that uses the related BigQuery tables as a source and give the BI team view access to the Data Studio dashboard.
 - [ ] Create a Service Account for the BI team and distribute a new private key to each member of the BI team.
-- [x] Use Cloud Scheduler to schedule a batch Dataflow job to copy the data from BigQuery to the BI team's internal data warehouse.
-- [ ] Assign the IAM role of BigQuery User to a Google Group that contains the members of the BI team.
+- [ ] Use Cloud Scheduler to schedule a batch Dataflow job to copy the data from BigQuery to the BI team's internal data warehouse.
+- [x] Assign the IAM role of BigQuery User to a Google Group that contains the members of the BI team.
 
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