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NEW QUESTION: 1
You are creating an App Engine application that uses Cloud Datastore as its persistence layer. You need to retrieve several root entities for which you have the identifiers. You want to minimize the overhead in operations performed by Cloud Datastore. What should you do?
A. Use the identifiers to create a query filter and run a batch query operation
B. Use the identifiers to create a query filter and run multiple query operations, one operation for each entity
C. Create the Key object for each Entity and run a batch get operation
D. Create the Key object for each Entity and run multiple get operations, one operation for each entity
Answer: C
Explanation:
Explanation
https://cloud.google.com/datastore/docs/concepts/entities#datastore-datastore-batch-upsert-nodejs

NEW QUESTION: 2
A backup administrator notices that an EMC NetWorker UNIX client takes a long time to complete the daily backup. After investigation, the administrator discovers the client has some large, disk-based file systems with a high daily change rate. The client is currently configured as a dedicated storage node.
The backup environment consists of a NetWorker server, NetWorker storage node, a NetWorker deduplication node, and several DD Boost devices.
What can be done to speed up the backup for this NetWorker client without changing the file system?
A. Enable Checkpoint Restart at the directory level
B. Disable the Changed Block Tracking feature
C. Back up the client to the deduplication node
D. Configure the client for parallel save streams
Answer: D

NEW QUESTION: 3
Sara, a hacker, is completing a website form to request a free coupon. The site has a field that limits the request to 3 or fewer coupons. While submitting the form, Sara runs an application on her machine to intercept the HTTP POST command and change the field from 3 coupons to 30.
Which of the following was used to perform this attack?
A. Proxy
B. XML injection
C. Packet sniffer
D. SQL injection
Answer: B
Explanation:
When a web user takes advantage of a weakness with SQL by entering values that they should not, it is known as a SQL injection attack. Similarly, when the user enters values that query XML (known as XPath) with values that take advantage of exploits, it is known as an XML injection attack. XPath works in a similar manner to SQL, except that it does not have the same levels of access control, and taking advantage of weaknesses within can return entire documents. The best way to prevent XML injection attacks is to filter the user's input and sanitize it to make certain that it does not cause XPath to return more data than it should.