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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@t it seems like azure service bus message quesues could be the best solution
helpful to check your understanding.
question 128 the answer should be static not auto
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q31 answer should be d i think
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q10: c and f are also true. q11: this is outdated. you no longer need ownership on a pipe to operate it
good questions with simple explanation
admin guide (windows) respond to malicious causality chains. when the cortex xdr agent identifies a remote network connection that attempts to perform malicious activity—such as encrypting endpoint files—the agent can automatically block the ip address to close all existing communication and block new connections from this ip address to the endpoint. when cortex xdrblocks an ip address per endpoint, that address remains blocked throughout all agent profiles and policies, including any host-firewall policy rules. you can view the list of all blocked ip addresses per endpoint from the action center, as well as unblock them to re-enable communication as appropriate. this module is supported with cortex xdr agent 7.3.0 and later. select the action mode to take when the cortex xdr agent detects remote malicious causality chains: enabled (default)—terminate connection and block ip address of the remote connection. disabled—do not block remote ip addresses. to allow specific and known s
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question 5, it seems a instead of d, because: - care plan = case - patient = person account - product = product2;
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question 35 has an answer for a different question. i believe the answer is "a" because it shut off the firewall. "0" in registry data means that its false (aka off).
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