You are designing a basket abandonment system for an ecommerce company. The system will send a message to a user based on these rules:No interaction by the user on the site for 1 hourHas added more than $30 worth of products to the basketHas not completed a transactionYou use Google Cloud Dataflow to process the data and decide if a message should be sent. How should you design the pipeline?
Answer(s): C
Your company handles data processing for a number of different clients. Each client prefers to use their own suite of analytics tools, with some allowing direct query access via Google BigQuery. You need to secure the data so that clients cannot see each other's dat
Answer(s): B,D,F
You want to process payment transactions in a point-of-sale application that will run on Google Cloud Platform. Your user base could grow exponentially, but you do not want to manage infrastructure scaling.Which Google database service should you use?
Answer(s): A
You want to use a database of information about tissue samples to classify future tissue samples as either normal or mutated. You are evaluating an unsupervised anomaly detection method for classifying the tissue samples. Which two characteristic support this method? (Choose two.)
Answer(s): A,D
Unsupervised anomaly detection techniques detect anomalies in an unlabeled test data set under the assumption that the majority of the instances in the data set are normal by looking for instances that seem to fit least to the remainder of the data set.https://en.wikipedia.org/wiki/Anomaly_detection
You need to store and analyze social media postings in Google BigQuery at a rate of 10,000 messages per minute in near real-time. Initially, design the application to use streaming inserts for individual postings. Your application also performs data aggregations right after the streaming inserts. You discover that the queries after streaming inserts do not exhibit strong consistency, and reports from the queries might miss in-flight dat
Answer(s): D
The data is first comes to buffer and then written to Storage. If we are running queries in buffer we will face above mentioned issues. If we wait for the bigquery to write the data to storage then we won't face the issue. So We need to wait till it's written tio storage
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q:42 there has to be a image in the question to choose what does it mean from the options
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q-6 ans-b correct. https://docs.paloaltonetworks.com/pan-os/9-1/pan-os-cli-quick-start/use-the-cli/commit-configuration-changes
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the correct answer to q8 is b. explanation since the mule app has a dependency, it is necessary to include project modules and dependencies to make sure the app will run successfully on the runtime on any other machine. source code of the component that the mule app is dependent of does not need to be included in the exported jar file, because the source code is not being used while executing an app. compiled code is being used instead.
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A and D are True
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