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Google Professional Data Engineer Practice Test - Questions Answers, Page 13

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Question 121

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Which is not a valid reason for poor Cloud Bigtable performance?

Question 122

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Which is the preferred method to use to avoid hotspotting in time series data in Bigtable?

Question 123

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When you design a Google Cloud Bigtable schema it is recommended that you _________.

Question 124

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Which of the following is NOT a valid use case to select HDD (hard disk drives) as the storage for Google Cloud Bigtable?

Question 125

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Cloud Bigtable is Google's ______ Big Data database service.

Question 126

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When you store data in Cloud Bigtable, what is the recommended minimum amount of stored data?

Question 127

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If you're running a performance test that depends upon Cloud Bigtable, all the choices except one below are recommended steps. Which is NOT a recommended step to follow?

Question 128

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Cloud Bigtable is a recommended option for storing very large amounts of ____________________________?

Question 129

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Google Cloud Bigtable indexes a single value in each row. This value is called the _______.

Question 130

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What is the HBase Shell for Cloud Bigtable?

Related questions

What are all of the BigQuery operations that Google charges for?

You are designing a data mesh on Google Cloud by using Dataplex to manage data in BigQuery and Cloud Storage. You want to simplify data asset permissions. You are creating a customer virtual lake with two user groups: * Data engineers, which require lull data lake access * Analytic users, which require access to curated data You need to assign access rights to these two groups. What should you do?

Your infrastructure team has set up an interconnect link between Google Cloud and the on-premises network. You are designing a high-throughput streaming pipeline to ingest data in streaming from an Apache Kafka cluster hosted on-premises. You want to store the data in BigQuery, with as minima! latency as possible. What should you do?

You need to connect multiple applications with dynamic public IP addresses to a Cloud SQL instance. You configured users with strong passwords and enforced the SSL connection to your Cloud SOL instance. You want to use Cloud SQL public IP and ensure that you have secured connections. What should you do?

You are designing the architecture to process your data from Cloud Storage to BigQuery by using Dataflow. The network team provided you with the Shared VPC network and subnetwork to be used by your pipelines. You need to enable the deployment of the pipeline on the Shared VPC network. What should you do?

Your company built a TensorFlow neural-network model with a large number of neurons and layers. The model fits well for the training dat a. However, when tested against new data, it performs poorly. What method can you employ to address this?

You have a BigQuery table that ingests data directly from a Pub/Sub subscription. The ingested data is encrypted with a Google-managed encryption key. You need to meet a new organization policy that requires you to use keys from a centralized Cloud Key Management Service (Cloud KMS) project to encrypt data at rest. What should you do?

You are using BigQuery with a regional dataset that includes a table with the daily sales volumes. This table is updated multiple times per day. You need to protect your sales table in case of regional failures with a recovery point objective (RPO) of less than 24 hours, while keeping costs to a minimum. What should you do?

You are running your BigQuery project in the on-demand billing model and are executing a change data capture (CDC) process that ingests data. The CDC process loads 1 GB of data every 10 minutes into a temporary table, and then performs a merge into a 10 TB target table. This process is very scan intensive and you want to explore options to enable a predictable cost model. You need to create a BigQuery reservation based on utilization information gathered from BigQuery Monitoring and apply the reservation to the CDC process. What should you do?

You work for a large real estate firm and are preparing 6 TB of home sales data lo be used for machine learning You will use SOL to transform the data and use BigQuery ML lo create a machine learning model. You plan to use the model for predictions against a raw dataset that has not been transformed. How should you set up your workflow in order to prevent skew at prediction time?

Question 121

Which is not a valid reason for poor Cloud Bigtable performance?

The workload isn't appropriate for Cloud Bigtable.

The table's schema is not designed correctly.

The Cloud Bigtable cluster has too many nodes.

There are issues with the network connection.

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Question 122

Which is the preferred method to use to avoid hotspotting in time series data in Bigtable?

Field promotion

Randomization

Salting

Hashing

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Question 123

When you design a Google Cloud Bigtable schema it is recommended that you _________.

Avoid schema designs that are based on NoSQL concepts

Create schema designs that are based on a relational database design

Avoid schema designs that require atomicity across rows

Create schema designs that require atomicity across rows

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Question 124

Which of the following is NOT a valid use case to select HDD (hard disk drives) as the storage for Google Cloud Bigtable?

You expect to store at least 10 TB of data.

You will mostly run batch workloads with scans and writes, rather than frequently executing random reads of a small number of rows.

You need to integrate with Google BigQuery.

You will not use the data to back a user-facing or latency-sensitive application.

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Question 125

Cloud Bigtable is Google's ______ Big Data database service.

Relational

mySQL

NoSQL

SQL Server

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Question 126

When you store data in Cloud Bigtable, what is the recommended minimum amount of stored data?

500 TB

1 GB

1 TB

500 GB

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Question 127

If you're running a performance test that depends upon Cloud Bigtable, all the choices except one below are recommended steps. Which is NOT a recommended step to follow?

Do not use a production instance.

Run your test for at least 10 minutes.

Before you test, run a heavy pre-test for several minutes.

Use at least 300 GB of data.

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Question 128

Cloud Bigtable is a recommended option for storing very large amounts of ____________________________?

multi-keyed data with very high latency

multi-keyed data with very low latency

single-keyed data with very low latency

single-keyed data with very high latency

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Question 129

Google Cloud Bigtable indexes a single value in each row. This value is called the _______.

primary key

unique key

row key

master key

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Question 130

What is the HBase Shell for Cloud Bigtable?

The HBase shell is a GUI based interface that performs administrative tasks, such as creating and deleting tables.

The HBase shell is a command-line tool that performs administrative tasks, such as creating and deleting tables.

The HBase shell is a hypervisor based shell that performs administrative tasks, such as creating and deleting new virtualized instances.

The HBase shell is a command-line tool that performs only user account management functions to grant access to Cloud Bigtable instances.

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