topic#1-#100 (passed at the 1st try) Flashcards
1. Your company has decided to make a major revision of their API in order to create better experiences for their developers. They need to keep the old version of the API available and deployable, while allowing new customers and testers to try out the new API. They want to keep the same SSL and DNS records in place to serve both APIs.
What should they do?
A. Configure a new load balancer for the new version of the API
B. Reconfigure old clients to use a new endpoint for the new API
C. Have the old API forward traffic to the new API based on the path
D. Use separate backend pools for each API path behind the load balancer
D
2. Your company plans to migrate a multi-petabyte data set to the cloud. The data set must be available 24hrs a day. Your business analysts have experience only with using a SQL interface.
How should you store the data to optimize it for ease of analysis?
A. Load data into Google BigQuery
B. Insert data into Google Cloud SQL
C. Put flat files into Google Cloud Storage
D. Stream data into Google Cloud Datastore
A
3. [TRICKY] The operations manager asks you for a list of recommended practices that she should consider when migrating a J2EE application to the cloud.
Which three practices should you recommend? (Choose three.)
A. Port the application code to run on Google App Engine
B. Integrate Cloud Dataflow into the application to capture real-time metrics
C. Instrument the application with a monitoring tool like Stackdriver Debugger
D. Select an automation framework to reliably provision the cloud infrastructure
E. Deploy a continuous integration tool with automated testing in a staging environment
F. Migrate from MySQL to a managed NoSQL database like Google Cloud Datastore or Bigtable
C D E
Operation manager. related to infra
App Engine is not a lift and shift option in this case; I highly doubt that a J2EE app is simple enough to basically copy/paste the code into App Engine, especially with all the limitations/restrictions that come with GAE.
4. A news feed web service has the following code running on Google App Engine. During peak load, users report that they can see news articles they already viewed.
What is the most likely cause of this problem?
import news from flask
import Flask, redirect, request from flask.ext.api
import status from google.appengine.api
import users
app = Flask (name)
sessions = {}
@app.route (“/”)
def homepage ():
user = users.get_current_user ()
if not user:
return “Invalid login”, status.HTTP_401_UNAUTHORIZED
if user not in sessions:
sessions［user］=（wieved”：[])
news_articles = news.get_new_news (user, sessions ([user][“viewed”))
sessions [user] [“viewed”] +- [n[“id’] for n in news articles]
return news. render (news_articles)
if name = “main”
app. run ()
A. The session variable is local to just a single instance
B. The session variable is being overwritten in Cloud Datastore
C. The URL of the API needs to be modified to prevent caching
D. The HTTP Expires header needs to be set to -1 stop caching
A
5. An application development team believes their current logging tool will not meet their needs for their new cloud-based product. They want a better tool to capture errors and help them analyze their historical log data. You want to help them find a solution that meets their needs.
What should you do?
A. Direct them to download and install the Google StackDriver logging agent
B. Send them a list of online resources about logging best practices
C. Help them define their requirements and assess viable logging tools
D. Help them upgrade their current tool to take advantage of any new features
C
(A is also most voted)
StackDriver was replaced with Google Cloud operations suite
8. Your company wants to track whether someone is present in a meeting room reserved for a scheduled meeting. There are 1000 meeting rooms across 5 offices on 3 continents. Each room is equipped with a motion sensor that reports its status every second. The data from the motion detector includes only a sensor ID and several different discrete items of information. Analysts will use this data, together with information about account owners and office locations.
Which database type should you use?
A. Flat file
B. NoSQL
C. Relational
D. Blobstore
B
(BigTable for GCP)
9. You set up an autoscaling instance group to serve web traffic for an upcoming launch. After configuring the instance group as a backend service to an HTTP(S) load balancer, you notice that virtual machine (VM) instances are being terminated and re-launched every minute. The instances do not have a public IP address.
You have verified the appropriate web response is coming from each instance using the curl command. You want to ensure the backend is configured correctly.
What should you do?
A. Ensure that a firewall rules exists to allow source traffic on HTTP/HTTPS to reach the load balancer.
B. Assign a public IP to each instance and configure a firewall rule to allow the load balancer to reach the instance public IP.
C. Ensure that a firewall rule exists to allow load balancer health checks to reach the instances in the instance group.
D. Create a tag on each instance with the name of the load balancer. Configure a firewall rule with the name of the load balancer as the source and the instance tag as the destination.
C
10. You write a Python script to connect to Google BigQuery from a Google Compute Engine virtual machine. The script is printing errors that it cannot connect to
BigQuery.
What should you do to fix the script?
A. Install the latest BigQuery API client library for Python
B. Run your script on a new virtual machine with the BigQuery access scope enabled
C. Create a new service account with BigQuery access and execute your script with that user
D. Install the bq component for gcloud with the command gcloud components install bq.
C
12. Your company has successfully migrated to the cloud and wants to analyze their data stream to optimize operations. They do not have any existing code for this analysis, so they are exploring all their options. These options include a mix of batch and stream processing, as they are running some hourly jobs and live- processing some data as it comes in.
Which technology should they use for this?
A. Google Cloud Dataproc
B. Google Cloud Dataflow
C. Google Container Engine with Bigtable
D. Google Compute Engine with Google BigQuery
B
13. Your customer is receiving reports that their recently updated Google App Engine application is taking approximately 30 seconds to load for some of their users.
This behavior was not reported before the update.
What strategy should you take?
A. Work with your ISP to diagnose the problem
B. Open a support ticket to ask for network capture and flow data to diagnose the problem, then roll back your application
C. Roll back to an earlier known good release initially, then use Stackdriver Trace and Logging to diagnose the problem in a development/test/staging environment
D. Roll back to an earlier known good release, then push the release again at a quieter period to investigate. Then use Stackdriver Trace and Logging to diagnose the problem
C
16. You have been asked to select the storage system for the click-data of your company’s large portfolio of websites. This data is streamed in from a custom website analytics package at a typical rate of 6,000 clicks per minute. With bursts of up to 8,500 clicks per second. It must have been stored for future analysis by your data science and user experience teams.
Which storage infrastructure should you choose?
A. Google Cloud SQL
B. Google Cloud Bigtable
C. Google Cloud Storage
D. Google Cloud Datastore
B
Google Cloud Bigtable is a fully managed, high-performance NoSQL database service that is designed to handle large volumes of structured data with low latency. It is well-suited for storing high-velocity data streams and can scale to handle millions of reads and writes per second.
17. You are creating a solution to remove backup files older than 90 days from your backup Cloud Storage bucket. You want to optimize ongoing Cloud Storage spend.
What should you do?
A. Write a lifecycle management rule in XML and push it to the bucket with gsutil
B. Write a lifecycle management rule in JSON and push it to the bucket with gsutil
C. Schedule a cron script using gsutil ls ג€”lr gs://backups/** to find and remove items older than 90 days
D. Schedule a cron script using gsutil ls ג€”l gs://backups/** to find and remove items older than 90 days and schedule it with cron
B
Gsutil lifecycle set <config-json-file> gs://<bucket-name></bucket-name></config-json-file>
https://cloud.google.com/storage/docs/gsutil/commands/lifecycle#examples
18. Your company is forecasting a sharp increase in the number and size of Apache Spark and Hadoop jobs being run on your local datacenter. You want to utilize the cloud to help you scale this upcoming demand with the least amount of operations work and code change.
Which product should you use?
A. Google Cloud Dataflow
B. Google Cloud Dataproc
C. Google Compute Engine
D. Google Kubernetes Engine
B
20. You want to optimize the performance of an accurate, real-time, weather-charting application. The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading.
Where should you store the data?
A. Google BigQuery
B. Google Cloud SQL
C. Google Cloud Bigtable
D. Google Cloud Storage
C
23. Your solution is producing performance bugs in production that you did not see in staging and test environments. You want to adjust your test and deployment procedures to avoid this problem in the future.
What should you do?
A. Deploy fewer changes to production
B. Deploy smaller changes to production
C. Increase the load on your test and staging environments
D. Deploy changes to a small subset of users before rolling out to production
C
(D is a canary release)
24. A small number of API requests to your microservices-based application take a very long time. You know that each request to the API can traverse many services.
You want to know which service takes the longest in those cases.
What should you do?
A. Set timeouts on your application so that you can fail requests faster
B. Send custom metrics for each of your requests to Stackdriver Monitoring
C. Use Stackdriver Monitoring to look for insights that show when your API latencies are high
D. Instrument your application with Stackdriver Trace in order to break down the request latencies at each microservice
D
https://cloud.google.com/trace/docs/quickstart#find_a_trace
27. Your company has decided to build a backup replica of their on-premises user authentication PostgreSQL database on Google Cloud Platform. The database is 4
TB, and large updates are frequent. Replication requires private address space communication.
Which networking approach should you use?
A. Google Cloud Dedicated Interconnect
B. Google Cloud VPN connected to the data center network
C. A NAT and TLS translation gateway installed on-premises
D. A Google Compute Engine instance with a VPN server installed connected to the data center network
A
29. You are designing a large distributed application with 30 microservices. Each of your distributed microservices needs to connect to a database back-end. You want to store the credentials securely.
Where should you store the credentials?
A. In the source code
B. In an environment variable
C. In a secret management system
D. In a config file that has restricted access through ACLs
C
33. Your organization has a 3-tier web application deployed in the same network on Google Cloud Platform. Each tier (web, API, and database) scales independently of the others. Network traffic should flow through the web to the API tier and then on to the database tier. Traffic should not flow between the web and the database tier.
How should you configure the network?
A. Add each tier to a different subnetwork
B. Set up software based firewalls on individual VMs
C. Add tags to each tier and set up routes to allow the desired traffic flow
D. Add tags to each tier and set up firewall rules to allow the desired traffic flow
D
35. Your company wants to try out the cloud with low risk. They want to archive approximately 100 TB of their log data to the cloud and test the analytics features available to them there, while also retaining that data as a long-term disaster recovery backup.
Which two steps should you take? (Choose two.)
A. Load logs into Google BigQuery
B. Load logs into Google Cloud SQL
C. Import logs into Google Stackdriver
D. Insert logs into Google Cloud Bigtable
E. Upload log files into Google Cloud Storage
A E
36. You created a pipeline that can deploy your source code changes to your infrastructure in instance groups for self-healing. One of the changes negatively affects your key performance indicator. You are not sure how to fix it, and investigation could take up to a week.
What should you do?
A. Log in to a server, and iterate on the fox locally
B. Revert the source code change, and rerun the deployment pipeline
C. Log into the servers with the bad code change, and swap in the previous code
D. Change the instance group template to the previous one, and delete all instances
B
37. Your organization wants to control IAM policies for different departments independently, but centrally.
Which approach should you take?
A. Multiple Organizations with multiple Folders
B. Multiple Organizations, one for each department
C. A single Organization with Folders for each department
D. A single Organization with multiple projects, each with a central owner
C
